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Deployments
Contents
Streamlit
Gradio (on Hugging Face)
Beam
Vercel
Digitalocean App Platform
Google Cloud Run
SteamShip
Langchain-serve
BentoML
Databutton
Deployments#
So you’ve made a really cool chain - now what? How do you deploy it and make it easily sharable with the world?
This section covers several options for that.
Note that these are meant as quick deployment options for prototypes and demos, and not for production systems.
If you are looking for help with deployment of a production system, please contact us directly.
What follows is a list of template GitHub repositories aimed that are intended to be
very easy to fork and modify to use your chain.
This is far from an exhaustive list of options, and we are EXTREMELY open to contributions here.
Streamlit#
This repo serves as a template for how to deploy a LangChain with Streamlit.
It implements a chatbot interface.
It also contains instructions for how to deploy this app on the Streamlit platform.
Gradio (on Hugging Face)#
This repo serves as a template for how deploy a LangChain with Gradio.
It implements a chatbot interface, with a “Bring-Your-Own-Token” approach (nice for not wracking up big bills).
It also contains instructions for how to deploy this app on the Hugging Face platform.
This is heavily influenced by James Weaver’s excellent examples.
Beam#
This repo serves as a template for how deploy a LangChain with Beam.
It implements a Question Answering app and contains instructions for deploying the app as a serverless REST API.
Vercel#
A minimal example on how to run LangChain on Vercel using Flask.
Digitalocean App Platform#
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Digitalocean App Platform#
A minimal example on how to deploy LangChain to DigitalOcean App Platform.
Google Cloud Run#
A minimal example on how to deploy LangChain to Google Cloud Run.
SteamShip#
This repository contains LangChain adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship.
This includes: production ready endpoints, horizontal scaling across dependencies, persistant storage of app state, multi-tenancy support, etc.
Langchain-serve#
This repository allows users to serve local chains and agents as RESTful, gRPC, or Websocket APIs thanks to Jina. Deploy your chains & agents with ease and enjoy independent scaling, serverless and autoscaling APIs, as well as a Streamlit playground on Jina AI Cloud.
BentoML#
This repository provides an example of how to deploy a LangChain application with BentoML. BentoML is a framework that enables the containerization of machine learning applications as standard OCI images. BentoML also allows for the automatic generation of OpenAPI and gRPC endpoints. With BentoML, you can integrate models from all popular ML frameworks and deploy them as microservices running on the most optimal hardware and scaling independently.
Databutton#
These templates serve as examples of how to build, deploy, and share LangChain applications using Databutton. You can create user interfaces with Streamlit, automate tasks by scheduling Python code, and store files and data in the built-in store. Examples include Chatbot interface with conversational memory, Personal search engine, and a starter template for LangChain apps. Deploying and sharing is one click.
previous
LangChain Gallery
next
Tracing
Contents
Streamlit
Gradio (on Hugging Face)
Beam
Vercel
Digitalocean App Platform
Google Cloud Run
SteamShip
Langchain-serve
BentoML
Databutton
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Google Cloud Run
SteamShip
Langchain-serve
BentoML
Databutton
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.rst
.pdf
LangChain Ecosystem
Contents
Groups
Companies / Products
LangChain Ecosystem#
Guides for how other companies/products can be used with LangChain
Groups#
LangChain provides integration with many LLMs and systems:
LLM Providers
Chat Model Providers
Text Embedding Model Providers
Document Loader Integrations
Text Splitter Integrations
Vectorstore Providers
Retriever Providers
Tool Providers
Toolkit Integrations
Companies / Products#
AI21 Labs
Aim
AnalyticDB
Apify
AtlasDB
Banana
CerebriumAI
Chroma
ClearML Integration
Cohere
Comet
Databerry
DeepInfra
Deep Lake
ForefrontAI
Google Search Wrapper
Google Serper Wrapper
GooseAI
GPT4All
Graphsignal
Hazy Research
Helicone
Hugging Face
Jina
Llama.cpp
Milvus
Modal
MyScale
NLPCloud
OpenAI
OpenSearch
Petals
PGVector
Pinecone
Prediction Guard
PromptLayer
Qdrant
Replicate
Runhouse
RWKV-4
SearxNG Search API
SerpAPI
StochasticAI
Unstructured
Weights & Biases
Weaviate
Wolfram Alpha Wrapper
Writer
Yeager.ai
Zilliz
previous
Experimental Modules
next
AI21 Labs
Contents
Groups
Companies / Products
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.pdf
LangChain Gallery
Contents
Open Source
Misc. Colab Notebooks
Proprietary
LangChain Gallery#
Lots of people have built some pretty awesome stuff with LangChain.
This is a collection of our favorites.
If you see any other demos that you think we should highlight, be sure to let us know!
Open Source#
HowDoI.ai
This is an experiment in building a large-language-model-backed chatbot. It can hold a conversation, remember previous comments/questions,
and answer all types of queries (history, web search, movie data, weather, news, and more).
YouTube Transcription QA with Sources
An end-to-end example of doing question answering on YouTube transcripts, returning the timestamps as sources to legitimize the answer.
QA Slack Bot
This application is a Slack Bot that uses Langchain and OpenAI’s GPT3 language model to provide domain specific answers. You provide the documents.
ThoughtSource
A central, open resource and community around data and tools related to chain-of-thought reasoning in large language models.
LLM Strategy
This Python package adds a decorator llm_strategy that connects to an LLM (such as OpenAI’s GPT-3) and uses the LLM to “implement” abstract methods in interface classes. It does this by forwarding requests to the LLM and converting the responses back to Python data using Python’s @dataclasses.
Zero-Shot Corporate Lobbyist
A notebook showing how to use GPT to help with the work of a corporate lobbyist.
Dagster Documentation ChatBot
A jupyter notebook demonstrating how you could create a semantic search engine on documents in one of your Google Folders
Google Folder Semantic Search
Build a GitHub support bot with GPT3, LangChain, and Python.
Talk With Wind
Record sounds of anything (birds, wind, fire, train station) and chat with it.
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Record sounds of anything (birds, wind, fire, train station) and chat with it.
ChatGPT LangChain
This simple application demonstrates a conversational agent implemented with OpenAI GPT-3.5 and LangChain. When necessary, it leverages tools for complex math, searching the internet, and accessing news and weather.
GPT Math Techniques
A Hugging Face spaces project showing off the benefits of using PAL for math problems.
GPT Political Compass
Measure the political compass of GPT.
Notion Database Question-Answering Bot
Open source GitHub project shows how to use LangChain to create a chatbot that can answer questions about an arbitrary Notion database.
LlamaIndex
LlamaIndex (formerly GPT Index) is a project consisting of a set of data structures that are created using GPT-3 and can be traversed using GPT-3 in order to answer queries.
Grover’s Algorithm
Leveraging Qiskit, OpenAI and LangChain to demonstrate Grover’s algorithm
QNimGPT
A chat UI to play Nim, where a player can select an opponent, either a quantum computer or an AI
ReAct TextWorld
Leveraging the ReActTextWorldAgent to play TextWorld with an LLM!
Fact Checker
This repo is a simple demonstration of using LangChain to do fact-checking with prompt chaining.
DocsGPT
Answer questions about the documentation of any project
Misc. Colab Notebooks#
Wolfram Alpha in Conversational Agent
Give ChatGPT a WolframAlpha neural implant
Tool Updates in Agents
Agent improvements (6th Jan 2023)
Conversational Agent with Tools (Langchain AGI)
Langchain AGI (23rd Dec 2022)
Proprietary#
Daimon
A chat-based AI personal assistant with long-term memory about you.
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Daimon
A chat-based AI personal assistant with long-term memory about you.
Summarize any file with AI
Summarize not only long docs, interview audio or video files quickly, but also entire websites and YouTube videos. Share or download your generated summaries to collaborate with others, or revisit them at any time! Bonus: @anysummary on Twitter will also summarize any thread it is tagged in.
AI Assisted SQL Query Generator
An app to write SQL using natural language, and execute against real DB.
Clerkie
Stack Tracing QA Bot to help debug complex stack tracing (especially the ones that go multi-function/file deep).
Sales Email Writer
By Raza Habib, this demo utilizes LangChain + SerpAPI + HumanLoop to write sales emails. Give it a company name and a person, this application will use Google Search (via SerpAPI) to get more information on the company and the person, and then write them a sales message.
Question-Answering on a Web Browser
By Zahid Khawaja, this demo utilizes question answering to answer questions about a given website. A followup added this for YouTube videos, and then another followup added it for Wikipedia.
Mynd
A journaling app for self-care that uses AI to uncover insights and patterns over time.
previous
Glossary
next
Deployments
Contents
Open Source
Misc. Colab Notebooks
Proprietary
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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Index
_
| A
| B
| C
| D
| E
| F
| G
| H
| I
| J
| K
| L
| M
| N
| O
| P
| Q
| R
| S
| T
| U
| V
| W
| Y
| Z
_
__call__() (langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
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(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
A
aadd_documents() (langchain.retrievers.TimeWeightedVectorStoreRetriever method)
(langchain.vectorstores.VectorStore method)
aadd_texts() (langchain.vectorstores.VectorStore method)
aapply() (langchain.chains.LLMChain method)
aapply_and_parse() (langchain.chains.LLMChain method)
acall_actor() (langchain.utilities.ApifyWrapper method)
acompress_documents() (langchain.retrievers.document_compressors.DocumentCompressorPipeline method)
(langchain.retrievers.document_compressors.EmbeddingsFilter method)
(langchain.retrievers.document_compressors.LLMChainExtractor method)
(langchain.retrievers.document_compressors.LLMChainFilter method)
add() (langchain.docstore.InMemoryDocstore method)
add_ai_message() (langchain.memory.ChatMessageHistory method)
(langchain.memory.CosmosDBChatMessageHistory method)
(langchain.memory.DynamoDBChatMessageHistory method)
(langchain.memory.PostgresChatMessageHistory method)
(langchain.memory.RedisChatMessageHistory method)
add_documents() (langchain.retrievers.TimeWeightedVectorStoreRetriever method)
(langchain.retrievers.WeaviateHybridSearchRetriever method)
(langchain.vectorstores.VectorStore method)
add_embeddings() (langchain.vectorstores.FAISS method)
add_example() (langchain.prompts.example_selector.LengthBasedExampleSelector method)
(langchain.prompts.example_selector.SemanticSimilarityExampleSelector method)
add_memory() (langchain.experimental.GenerativeAgentMemory method)
add_texts() (langchain.retrievers.ElasticSearchBM25Retriever method)
(langchain.retrievers.PineconeHybridSearchRetriever method)
(langchain.vectorstores.AnalyticDB method)
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(langchain.vectorstores.AnalyticDB method)
(langchain.vectorstores.Annoy method)
(langchain.vectorstores.AtlasDB method)
(langchain.vectorstores.Chroma method)
(langchain.vectorstores.DeepLake method)
(langchain.vectorstores.ElasticVectorSearch method)
(langchain.vectorstores.FAISS method)
(langchain.vectorstores.Milvus method)
(langchain.vectorstores.MyScale method)
(langchain.vectorstores.OpenSearchVectorSearch method)
(langchain.vectorstores.Pinecone method)
(langchain.vectorstores.Qdrant method)
(langchain.vectorstores.SupabaseVectorStore method)
(langchain.vectorstores.VectorStore method)
(langchain.vectorstores.Weaviate method)
add_user_message() (langchain.memory.ChatMessageHistory method)
(langchain.memory.CosmosDBChatMessageHistory method)
(langchain.memory.DynamoDBChatMessageHistory method)
(langchain.memory.PostgresChatMessageHistory method)
(langchain.memory.RedisChatMessageHistory method)
add_vectors() (langchain.vectorstores.SupabaseVectorStore method)
add_video_info (langchain.document_loaders.GoogleApiYoutubeLoader attribute)
adelete() (langchain.utilities.TextRequestsWrapper method)
afrom_documents() (langchain.vectorstores.VectorStore class method)
afrom_texts() (langchain.vectorstores.VectorStore class method)
age (langchain.experimental.GenerativeAgent attribute)
agenerate() (langchain.chains.LLMChain method)
(langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
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(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
agenerate_prompt() (langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
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(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
agent (langchain.agents.AgentExecutor attribute)
(langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
AgentType (class in langchain.agents)
aget() (langchain.utilities.TextRequestsWrapper method)
aget_relevant_documents() (langchain.retrievers.ChatGPTPluginRetriever method)
(langchain.retrievers.ContextualCompressionRetriever method)
(langchain.retrievers.DataberryRetriever method)
(langchain.retrievers.ElasticSearchBM25Retriever method)
(langchain.retrievers.MetalRetriever method)
(langchain.retrievers.PineconeHybridSearchRetriever method)
(langchain.retrievers.RemoteLangChainRetriever method)
(langchain.retrievers.SVMRetriever method)
(langchain.retrievers.TFIDFRetriever method)
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(langchain.retrievers.TFIDFRetriever method)
(langchain.retrievers.TimeWeightedVectorStoreRetriever method)
(langchain.retrievers.WeaviateHybridSearchRetriever method)
aget_table_info() (langchain.utilities.PowerBIDataset method)
aggregate_importance (langchain.experimental.GenerativeAgentMemory attribute)
ai_prefix (langchain.agents.ConversationalAgent attribute)
(langchain.memory.ConversationBufferMemory attribute)
(langchain.memory.ConversationBufferWindowMemory attribute)
(langchain.memory.ConversationEntityMemory attribute)
(langchain.memory.ConversationKGMemory attribute)
(langchain.memory.ConversationStringBufferMemory attribute)
(langchain.memory.ConversationTokenBufferMemory attribute)
aiosession (langchain.retrievers.ChatGPTPluginRetriever attribute)
(langchain.serpapi.SerpAPIWrapper attribute)
(langchain.utilities.PowerBIDataset attribute)
(langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
(langchain.utilities.SerpAPIWrapper attribute)
(langchain.utilities.TextRequestsWrapper attribute)
AirbyteJSONLoader (class in langchain.document_loaders)
aleph_alpha_api_key (langchain.llms.AlephAlpha attribute)
allowed_special (langchain.llms.AzureOpenAI attribute)
(langchain.llms.OpenAIChat attribute)
(langchain.llms.PromptLayerOpenAIChat attribute)
allowed_tools (langchain.agents.Agent attribute)
aload() (langchain.document_loaders.WebBaseLoader method)
alpha (langchain.retrievers.PineconeHybridSearchRetriever attribute)
amax_marginal_relevance_search() (langchain.vectorstores.VectorStore method)
amax_marginal_relevance_search_by_vector() (langchain.vectorstores.VectorStore method)
AnalyticDB (class in langchain.vectorstores)
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AnalyticDB (class in langchain.vectorstores)
Annoy (class in langchain.vectorstores)
answers (langchain.utilities.searx_search.SearxResults property)
apatch() (langchain.utilities.TextRequestsWrapper method)
api_answer_chain (langchain.chains.APIChain attribute)
api_docs (langchain.chains.APIChain attribute)
api_key (langchain.retrievers.DataberryRetriever attribute)
api_operation (langchain.chains.OpenAPIEndpointChain attribute)
api_request_chain (langchain.chains.APIChain attribute)
(langchain.chains.OpenAPIEndpointChain attribute)
api_response_chain (langchain.chains.OpenAPIEndpointChain attribute)
api_spec (langchain.tools.AIPluginTool attribute)
api_url (langchain.llms.StochasticAI attribute)
api_wrapper (langchain.tools.DuckDuckGoSearchTool attribute)
(langchain.tools.GooglePlacesTool attribute)
apify_client (langchain.document_loaders.ApifyDatasetLoader attribute)
(langchain.utilities.ApifyWrapper attribute)
apify_client_async (langchain.utilities.ApifyWrapper attribute)
aplan() (langchain.agents.Agent method)
(langchain.agents.BaseMultiActionAgent method)
(langchain.agents.BaseSingleActionAgent method)
(langchain.agents.LLMSingleActionAgent method)
apost() (langchain.utilities.TextRequestsWrapper method)
append() (langchain.memory.DynamoDBChatMessageHistory method)
(langchain.memory.PostgresChatMessageHistory method)
(langchain.memory.RedisChatMessageHistory method)
apply() (langchain.chains.LLMChain method)
apply_and_parse() (langchain.chains.LLMChain method)
apredict() (langchain.chains.LLMChain method)
apredict_and_parse() (langchain.chains.LLMChain method)
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apredict_and_parse() (langchain.chains.LLMChain method)
aprep_prompts() (langchain.chains.LLMChain method)
aput() (langchain.utilities.TextRequestsWrapper method)
arbitrary_types_allowed (langchain.experimental.BabyAGI.Config attribute)
(langchain.experimental.GenerativeAgent.Config attribute)
(langchain.retrievers.WeaviateHybridSearchRetriever.Config attribute)
are_all_true_prompt (langchain.chains.LLMSummarizationCheckerChain attribute)
aresults() (langchain.utilities.searx_search.SearxSearchWrapper method)
(langchain.utilities.SearxSearchWrapper method)
args (langchain.agents.Tool property)
(langchain.tools.BaseTool property)
args_schema (langchain.tools.BaseTool attribute)
arun() (langchain.serpapi.SerpAPIWrapper method)
(langchain.tools.BaseTool method)
(langchain.utilities.PowerBIDataset method)
(langchain.utilities.searx_search.SearxSearchWrapper method)
(langchain.utilities.SearxSearchWrapper method)
(langchain.utilities.SerpAPIWrapper method)
arxiv_exceptions (langchain.utilities.ArxivAPIWrapper attribute)
as_retriever() (langchain.vectorstores.VectorStore method)
asimilarity_search() (langchain.vectorstores.VectorStore method)
asimilarity_search_by_vector() (langchain.vectorstores.VectorStore method)
AtlasDB (class in langchain.vectorstores)
atransform_documents() (langchain.document_transformers.EmbeddingsRedundantFilter method)
(langchain.text_splitter.TextSplitter method)
AutoGPT (class in langchain.experimental)
AZLyricsLoader (class in langchain.document_loaders)
AzureBlobStorageContainerLoader (class in langchain.document_loaders)
AzureBlobStorageFileLoader (class in langchain.document_loaders)
B
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AzureBlobStorageFileLoader (class in langchain.document_loaders)
B
BabyAGI (class in langchain.experimental)
bad_words (langchain.llms.NLPCloud attribute)
base_compressor (langchain.retrievers.ContextualCompressionRetriever attribute)
base_embeddings (langchain.chains.HypotheticalDocumentEmbedder attribute)
base_retriever (langchain.retrievers.ContextualCompressionRetriever attribute)
base_url (langchain.document_loaders.BlackboardLoader attribute)
(langchain.llms.AI21 attribute)
(langchain.llms.ForefrontAI attribute)
(langchain.llms.Writer attribute)
(langchain.tools.APIOperation attribute)
(langchain.tools.OpenAPISpec property)
BashProcess (class in langchain.utilities)
batch_size (langchain.llms.AzureOpenAI attribute)
beam_search_diversity_rate (langchain.llms.Writer attribute)
beam_width (langchain.llms.Writer attribute)
bearer_token (langchain.retrievers.ChatGPTPluginRetriever attribute)
best_of (langchain.llms.AlephAlpha attribute)
(langchain.llms.AzureOpenAI attribute)
BigQueryLoader (class in langchain.document_loaders)
BiliBiliLoader (class in langchain.document_loaders)
bing_search_url (langchain.utilities.BingSearchAPIWrapper attribute)
bing_subscription_key (langchain.utilities.BingSearchAPIWrapper attribute)
BlackboardLoader (class in langchain.document_loaders)
body_params (langchain.tools.APIOperation property)
browser (langchain.document_loaders.SeleniumURLLoader attribute)
BSHTMLLoader (class in langchain.document_loaders)
buffer (langchain.memory.ConversationBufferMemory property)
(langchain.memory.ConversationBufferWindowMemory property)
(langchain.memory.ConversationEntityMemory property)
(langchain.memory.ConversationStringBufferMemory attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-9
|
(langchain.memory.ConversationStringBufferMemory attribute)
(langchain.memory.ConversationSummaryBufferMemory property)
(langchain.memory.ConversationSummaryMemory attribute)
(langchain.memory.ConversationTokenBufferMemory property)
C
cache_folder (langchain.embeddings.HuggingFaceEmbeddings attribute)
(langchain.embeddings.HuggingFaceInstructEmbeddings attribute)
call_actor() (langchain.utilities.ApifyWrapper method)
callback_manager (langchain.agents.agent_toolkits.PowerBIToolkit attribute)
(langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
(langchain.chat_models.ChatAnthropic attribute)
(langchain.tools.BaseTool attribute)
captions_language (langchain.document_loaders.GoogleApiYoutubeLoader attribute)
categories (langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
chain (langchain.chains.ConstitutionalChain attribute)
chains (langchain.chains.SequentialChain attribute)
(langchain.chains.SimpleSequentialChain attribute)
channel_name (langchain.document_loaders.GoogleApiYoutubeLoader attribute)
CharacterTextSplitter (class in langchain.text_splitter)
CHAT_CONVERSATIONAL_REACT_DESCRIPTION (langchain.agents.AgentType attribute)
chat_history_key (langchain.memory.ConversationEntityMemory attribute)
CHAT_ZERO_SHOT_REACT_DESCRIPTION (langchain.agents.AgentType attribute)
ChatGPTLoader (class in langchain.document_loaders)
check_assertions_prompt (langchain.chains.LLMCheckerChain attribute)
(langchain.chains.LLMSummarizationCheckerChain attribute)
check_bs4() (langchain.document_loaders.BlackboardLoader method)
Chroma (class in langchain.vectorstores)
CHUNK_LEN (langchain.llms.RWKV attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-10
|
CHUNK_LEN (langchain.llms.RWKV attribute)
chunk_size (langchain.embeddings.OpenAIEmbeddings attribute)
clear() (langchain.experimental.GenerativeAgentMemory method)
(langchain.memory.ChatMessageHistory method)
(langchain.memory.CombinedMemory method)
(langchain.memory.ConversationEntityMemory method)
(langchain.memory.ConversationKGMemory method)
(langchain.memory.ConversationStringBufferMemory method)
(langchain.memory.ConversationSummaryBufferMemory method)
(langchain.memory.ConversationSummaryMemory method)
(langchain.memory.CosmosDBChatMessageHistory method)
(langchain.memory.DynamoDBChatMessageHistory method)
(langchain.memory.InMemoryEntityStore method)
(langchain.memory.PostgresChatMessageHistory method)
(langchain.memory.ReadOnlySharedMemory method)
(langchain.memory.RedisChatMessageHistory method)
(langchain.memory.RedisEntityStore method)
(langchain.memory.SimpleMemory method)
(langchain.memory.VectorStoreRetrieverMemory method)
client (langchain.llms.Petals attribute)
CollegeConfidentialLoader (class in langchain.document_loaders)
column_map (langchain.vectorstores.MyScaleSettings attribute)
combine_docs_chain (langchain.chains.AnalyzeDocumentChain attribute)
combine_documents_chain (langchain.chains.MapReduceChain attribute)
combine_embeddings() (langchain.chains.HypotheticalDocumentEmbedder method)
completion_bias_exclusion_first_token_only (langchain.llms.AlephAlpha attribute)
completion_with_retry() (langchain.chat_models.ChatOpenAI method)
components (langchain.tools.OpenAPISpec attribute)
compress_documents() (langchain.retrievers.document_compressors.DocumentCompressorPipeline method)
(langchain.retrievers.document_compressors.EmbeddingsFilter method)
(langchain.retrievers.document_compressors.LLMChainExtractor method)
(langchain.retrievers.document_compressors.LLMChainFilter method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-11
|
(langchain.retrievers.document_compressors.LLMChainFilter method)
compress_to_size (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)
ConfluenceLoader (class in langchain.document_loaders)
CoNLLULoader (class in langchain.document_loaders)
connect() (langchain.vectorstores.AnalyticDB method)
connection_string_from_db_params() (langchain.vectorstores.AnalyticDB class method)
constitutional_principles (langchain.chains.ConstitutionalChain attribute)
construct() (langchain.llms.AI21 class method)
(langchain.llms.AlephAlpha class method)
(langchain.llms.Anthropic class method)
(langchain.llms.AzureOpenAI class method)
(langchain.llms.Banana class method)
(langchain.llms.CerebriumAI class method)
(langchain.llms.Cohere class method)
(langchain.llms.DeepInfra class method)
(langchain.llms.ForefrontAI class method)
(langchain.llms.GooseAI class method)
(langchain.llms.GPT4All class method)
(langchain.llms.HuggingFaceEndpoint class method)
(langchain.llms.HuggingFaceHub class method)
(langchain.llms.HuggingFacePipeline class method)
(langchain.llms.LlamaCpp class method)
(langchain.llms.Modal class method)
(langchain.llms.NLPCloud class method)
(langchain.llms.OpenAI class method)
(langchain.llms.OpenAIChat class method)
(langchain.llms.Petals class method)
(langchain.llms.PredictionGuard class method)
(langchain.llms.PromptLayerOpenAI class method)
(langchain.llms.PromptLayerOpenAIChat class method)
(langchain.llms.Replicate class method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-12
|
(langchain.llms.Replicate class method)
(langchain.llms.RWKV class method)
(langchain.llms.SagemakerEndpoint class method)
(langchain.llms.SelfHostedHuggingFaceLLM class method)
(langchain.llms.SelfHostedPipeline class method)
(langchain.llms.StochasticAI class method)
(langchain.llms.Writer class method)
content_handler (langchain.embeddings.SagemakerEndpointEmbeddings attribute)
(langchain.llms.SagemakerEndpoint attribute)
CONTENT_KEY (langchain.vectorstores.Qdrant attribute)
contextual_control_threshold (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)
(langchain.llms.AlephAlpha attribute)
continue_on_failure (langchain.document_loaders.GoogleApiYoutubeLoader attribute)
(langchain.document_loaders.PlaywrightURLLoader attribute)
(langchain.document_loaders.SeleniumURLLoader attribute)
control_log_additive (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)
(langchain.llms.AlephAlpha attribute)
CONVERSATIONAL_REACT_DESCRIPTION (langchain.agents.AgentType attribute)
copy() (langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-13
|
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
coroutine (langchain.agents.Tool attribute)
CosmosDBChatMessageHistory (class in langchain.memory)
countPenalty (langchain.llms.AI21 attribute)
create() (langchain.retrievers.ElasticSearchBM25Retriever class method)
create_assertions_prompt (langchain.chains.LLMSummarizationCheckerChain attribute)
create_collection() (langchain.vectorstores.AnalyticDB method)
create_csv_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_documents() (langchain.text_splitter.TextSplitter method)
create_draft_answer_prompt (langchain.chains.LLMCheckerChain attribute)
create_index() (langchain.vectorstores.AtlasDB method)
create_json_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_llm_result() (langchain.llms.AzureOpenAI method)
(langchain.llms.OpenAI method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-14
|
(langchain.llms.OpenAI method)
(langchain.llms.PromptLayerOpenAI method)
create_openapi_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_outputs() (langchain.chains.LLMChain method)
create_pandas_dataframe_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_pbi_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_pbi_chat_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_prompt() (langchain.agents.Agent class method)
(langchain.agents.ConversationalAgent class method)
(langchain.agents.ConversationalChatAgent class method)
(langchain.agents.ReActTextWorldAgent class method)
(langchain.agents.ZeroShotAgent class method)
create_python_agent() (in module langchain.agents.agent_toolkits)
create_sql_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_tables_if_not_exists() (langchain.vectorstores.AnalyticDB method)
create_vectorstore_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
create_vectorstore_router_agent() (in module langchain.agents)
(in module langchain.agents.agent_toolkits)
credential (langchain.utilities.PowerBIDataset attribute)
credentials_path (langchain.document_loaders.GoogleApiClient attribute)
(langchain.document_loaders.GoogleDriveLoader attribute)
credentials_profile_name (langchain.embeddings.SagemakerEndpointEmbeddings attribute)
(langchain.llms.SagemakerEndpoint attribute)
critique_chain (langchain.chains.ConstitutionalChain attribute)
CSVLoader (class in langchain.document_loaders)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-15
|
CSVLoader (class in langchain.document_loaders)
current_plan (langchain.experimental.GenerativeAgentMemory attribute)
D
daily_summaries (langchain.experimental.GenerativeAgent attribute)
database (langchain.chains.SQLDatabaseChain attribute)
(langchain.vectorstores.MyScaleSettings attribute)
DataberryRetriever (class in langchain.retrievers)
DataFrameLoader (class in langchain.document_loaders)
dataset_id (langchain.document_loaders.ApifyDatasetLoader attribute)
(langchain.utilities.PowerBIDataset attribute)
dataset_mapping_function (langchain.document_loaders.ApifyDatasetLoader attribute)
datastore_url (langchain.retrievers.DataberryRetriever attribute)
db (langchain.agents.agent_toolkits.SQLDatabaseToolkit attribute)
decay_rate (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)
decider_chain (langchain.chains.SQLDatabaseSequentialChain attribute)
DeepLake (class in langchain.vectorstores)
default_output_key (langchain.output_parsers.RegexParser attribute)
default_parser (langchain.document_loaders.WebBaseLoader attribute)
default_salience (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)
delete() (langchain.memory.InMemoryEntityStore method)
(langchain.memory.RedisEntityStore method)
(langchain.utilities.TextRequestsWrapper method)
(langchain.vectorstores.DeepLake method)
delete_collection() (langchain.vectorstores.AnalyticDB method)
(langchain.vectorstores.Chroma method)
delete_dataset() (langchain.vectorstores.DeepLake method)
deployment_name (langchain.chat_models.AzureChatOpenAI attribute)
(langchain.llms.AzureOpenAI attribute)
description (langchain.agents.agent_toolkits.VectorStoreInfo attribute)
(langchain.agents.Tool attribute)
(langchain.output_parsers.ResponseSchema attribute)
(langchain.tools.APIOperation attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-16
|
(langchain.output_parsers.ResponseSchema attribute)
(langchain.tools.APIOperation attribute)
(langchain.tools.BaseTool attribute)
deserialize_json_input() (langchain.chains.OpenAPIEndpointChain method)
device (langchain.llms.SelfHostedHuggingFaceLLM attribute)
dialect (langchain.agents.agent_toolkits.SQLDatabaseToolkit property)
dict() (langchain.agents.BaseMultiActionAgent method)
(langchain.agents.BaseSingleActionAgent method)
(langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-17
|
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
(langchain.prompts.BasePromptTemplate method)
(langchain.prompts.FewShotPromptTemplate method)
(langchain.prompts.FewShotPromptWithTemplates method)
DiffbotLoader (class in langchain.document_loaders)
DirectoryLoader (class in langchain.document_loaders)
disallowed_special (langchain.llms.AzureOpenAI attribute)
(langchain.llms.OpenAIChat attribute)
(langchain.llms.PromptLayerOpenAIChat attribute)
DiscordChatLoader (class in langchain.document_loaders)
do_sample (langchain.llms.NLPCloud attribute)
(langchain.llms.Petals attribute)
docs (langchain.retrievers.TFIDFRetriever attribute)
document_ids (langchain.document_loaders.GoogleDriveLoader attribute)
download() (langchain.document_loaders.BlackboardLoader method)
drop() (langchain.vectorstores.MyScale method)
drop_tables() (langchain.vectorstores.AnalyticDB method)
DuckDBLoader (class in langchain.document_loaders)
DynamoDBChatMessageHistory (class in langchain.memory)
E
early_stopping (langchain.llms.NLPCloud attribute)
early_stopping_method (langchain.agents.AgentExecutor attribute)
(langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
echo (langchain.llms.AlephAlpha attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
ElasticSearchBM25Retriever (class in langchain.retrievers)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-18
|
ElasticSearchBM25Retriever (class in langchain.retrievers)
ElasticVectorSearch (class in langchain.vectorstores)
embed_documents() (langchain.chains.HypotheticalDocumentEmbedder method)
(langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding method)
(langchain.embeddings.AlephAlphaSymmetricSemanticEmbedding method)
(langchain.embeddings.CohereEmbeddings method)
(langchain.embeddings.FakeEmbeddings method)
(langchain.embeddings.HuggingFaceEmbeddings method)
(langchain.embeddings.HuggingFaceHubEmbeddings method)
(langchain.embeddings.HuggingFaceInstructEmbeddings method)
(langchain.embeddings.LlamaCppEmbeddings method)
(langchain.embeddings.OpenAIEmbeddings method)
(langchain.embeddings.SagemakerEndpointEmbeddings method)
(langchain.embeddings.SelfHostedEmbeddings method)
(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings method)
(langchain.embeddings.TensorflowHubEmbeddings method)
embed_instruction (langchain.embeddings.HuggingFaceInstructEmbeddings attribute)
(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)
embed_query() (langchain.chains.HypotheticalDocumentEmbedder method)
(langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding method)
(langchain.embeddings.AlephAlphaSymmetricSemanticEmbedding method)
(langchain.embeddings.CohereEmbeddings method)
(langchain.embeddings.FakeEmbeddings method)
(langchain.embeddings.HuggingFaceEmbeddings method)
(langchain.embeddings.HuggingFaceHubEmbeddings method)
(langchain.embeddings.HuggingFaceInstructEmbeddings method)
(langchain.embeddings.LlamaCppEmbeddings method)
(langchain.embeddings.OpenAIEmbeddings method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-19
|
(langchain.embeddings.OpenAIEmbeddings method)
(langchain.embeddings.SagemakerEndpointEmbeddings method)
(langchain.embeddings.SelfHostedEmbeddings method)
(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings method)
(langchain.embeddings.TensorflowHubEmbeddings method)
embedding (langchain.llms.GPT4All attribute)
embeddings (langchain.document_transformers.EmbeddingsRedundantFilter attribute)
(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)
(langchain.retrievers.PineconeHybridSearchRetriever attribute)
(langchain.retrievers.SVMRetriever attribute)
endpoint_kwargs (langchain.embeddings.SagemakerEndpointEmbeddings attribute)
(langchain.llms.SagemakerEndpoint attribute)
endpoint_name (langchain.embeddings.SagemakerEndpointEmbeddings attribute)
(langchain.llms.SagemakerEndpoint attribute)
endpoint_url (langchain.llms.CerebriumAI attribute)
(langchain.llms.ForefrontAI attribute)
(langchain.llms.HuggingFaceEndpoint attribute)
(langchain.llms.Modal attribute)
engines (langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
entity_cache (langchain.memory.ConversationEntityMemory attribute)
entity_extraction_chain (langchain.chains.GraphQAChain attribute)
entity_extraction_prompt (langchain.memory.ConversationEntityMemory attribute)
(langchain.memory.ConversationKGMemory attribute)
entity_store (langchain.memory.ConversationEntityMemory attribute)
entity_summarization_prompt (langchain.memory.ConversationEntityMemory attribute)
error (langchain.chains.OpenAIModerationChain attribute)
escape_str() (langchain.vectorstores.MyScale method)
EverNoteLoader (class in langchain.document_loaders)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-20
|
EverNoteLoader (class in langchain.document_loaders)
example_keys (langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)
example_prompt (langchain.prompts.example_selector.LengthBasedExampleSelector attribute)
(langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
example_selector (langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
example_separator (langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
examples (langchain.agents.agent_toolkits.PowerBIToolkit attribute)
(langchain.prompts.example_selector.LengthBasedExampleSelector attribute)
(langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
executable_path (langchain.document_loaders.SeleniumURLLoader attribute)
execute_task() (langchain.experimental.BabyAGI method)
exists() (langchain.memory.InMemoryEntityStore method)
(langchain.memory.RedisEntityStore method)
externalDocs (langchain.tools.OpenAPISpec attribute)
extra (langchain.retrievers.WeaviateHybridSearchRetriever.Config attribute)
F
f16_kv (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
FacebookChatLoader (class in langchain.document_loaders)
FAISS (class in langchain.vectorstores)
fetch_all() (langchain.document_loaders.WebBaseLoader method)
fetch_formatted_page_summary() (langchain.utilities.WikipediaAPIWrapper method)
fetch_k (langchain.prompts.example_selector.MaxMarginalRelevanceExampleSelector attribute)
fetch_memories() (langchain.experimental.GenerativeAgentMemory method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-21
|
fetch_memories() (langchain.experimental.GenerativeAgentMemory method)
fetch_place_details() (langchain.utilities.GooglePlacesAPIWrapper method)
file_ids (langchain.document_loaders.GoogleDriveLoader attribute)
file_path (langchain.document_loaders.OnlinePDFLoader attribute)
(langchain.document_loaders.PDFMinerLoader attribute)
(langchain.document_loaders.PDFMinerPDFasHTMLLoader attribute)
(langchain.document_loaders.PyMuPDFLoader attribute)
(langchain.document_loaders.PyPDFLoader attribute)
filter (langchain.retrievers.ChatGPTPluginRetriever attribute)
folder_id (langchain.document_loaders.GoogleDriveLoader attribute)
folder_path (langchain.document_loaders.BlackboardLoader attribute)
force_delete_by_path() (langchain.vectorstores.DeepLake class method)
format() (langchain.prompts.BaseChatPromptTemplate method)
(langchain.prompts.BasePromptTemplate method)
(langchain.prompts.ChatPromptTemplate method)
(langchain.prompts.FewShotPromptTemplate method)
(langchain.prompts.FewShotPromptWithTemplates method)
(langchain.prompts.PromptTemplate method)
format_messages() (langchain.prompts.BaseChatPromptTemplate method)
(langchain.prompts.ChatPromptTemplate method)
(langchain.prompts.MessagesPlaceholder method)
format_place_details() (langchain.utilities.GooglePlacesAPIWrapper method)
format_prompt() (langchain.prompts.BaseChatPromptTemplate method)
(langchain.prompts.BasePromptTemplate method)
(langchain.prompts.StringPromptTemplate method)
frequency_penalty (langchain.llms.AlephAlpha attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.Cohere attribute)
(langchain.llms.GooseAI attribute)
frequencyPenalty (langchain.llms.AI21 attribute)
from_agent_and_tools() (langchain.agents.AgentExecutor class method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-22
|
from_agent_and_tools() (langchain.agents.AgentExecutor class method)
from_api_operation() (langchain.chains.OpenAPIEndpointChain class method)
from_bearer_token() (langchain.document_loaders.TwitterTweetLoader class method)
from_chains() (langchain.agents.MRKLChain class method)
from_colored_object_prompt() (langchain.chains.PALChain class method)
from_documents() (langchain.vectorstores.AnalyticDB class method)
(langchain.vectorstores.AtlasDB class method)
(langchain.vectorstores.Chroma class method)
(langchain.vectorstores.VectorStore class method)
from_embeddings() (langchain.vectorstores.Annoy class method)
(langchain.vectorstores.FAISS class method)
from_examples() (langchain.prompts.example_selector.MaxMarginalRelevanceExampleSelector class method)
(langchain.prompts.example_selector.SemanticSimilarityExampleSelector class method)
(langchain.prompts.PromptTemplate class method)
from_existing_index() (langchain.vectorstores.Pinecone class method)
from_file() (langchain.prompts.PromptTemplate class method)
(langchain.tools.OpenAPISpec class method)
from_huggingface_tokenizer() (langchain.text_splitter.TextSplitter class method)
from_jira_api_wrapper() (langchain.agents.agent_toolkits.JiraToolkit class method)
from_llm() (langchain.agents.agent_toolkits.OpenAPIToolkit class method)
(langchain.chains.ChatVectorDBChain class method)
(langchain.chains.ConstitutionalChain class method)
(langchain.chains.ConversationalRetrievalChain class method)
(langchain.chains.GraphQAChain class method)
(langchain.chains.HypotheticalDocumentEmbedder class method)
(langchain.chains.QAGenerationChain class method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-23
|
(langchain.chains.QAGenerationChain class method)
(langchain.chains.SQLDatabaseSequentialChain class method)
(langchain.experimental.BabyAGI class method)
(langchain.output_parsers.OutputFixingParser class method)
(langchain.output_parsers.RetryOutputParser class method)
(langchain.output_parsers.RetryWithErrorOutputParser class method)
(langchain.retrievers.document_compressors.LLMChainExtractor class method)
(langchain.retrievers.document_compressors.LLMChainFilter class method)
from_llm_and_ai_plugin() (langchain.agents.agent_toolkits.NLAToolkit class method)
from_llm_and_ai_plugin_url() (langchain.agents.agent_toolkits.NLAToolkit class method)
from_llm_and_api_docs() (langchain.chains.APIChain class method)
from_llm_and_spec() (langchain.agents.agent_toolkits.NLAToolkit class method)
from_llm_and_tools() (langchain.agents.Agent class method)
(langchain.agents.BaseSingleActionAgent class method)
(langchain.agents.ConversationalAgent class method)
(langchain.agents.ConversationalChatAgent class method)
(langchain.agents.ZeroShotAgent class method)
from_llm_and_url() (langchain.agents.agent_toolkits.NLAToolkit class method)
from_math_prompt() (langchain.chains.PALChain class method)
from_model_id() (langchain.llms.HuggingFacePipeline class method)
from_openapi_spec() (langchain.tools.APIOperation class method)
from_openapi_url() (langchain.tools.APIOperation class method)
from_params() (langchain.chains.MapReduceChain class method)
from_pipeline() (langchain.llms.SelfHostedHuggingFaceLLM class method)
(langchain.llms.SelfHostedPipeline class method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-24
|
(langchain.llms.SelfHostedPipeline class method)
from_plugin_url() (langchain.tools.AIPluginTool class method)
from_rail() (langchain.output_parsers.GuardrailsOutputParser class method)
from_rail_string() (langchain.output_parsers.GuardrailsOutputParser class method)
from_response_schemas() (langchain.output_parsers.StructuredOutputParser class method)
from_secrets() (langchain.document_loaders.TwitterTweetLoader class method)
from_spec_dict() (langchain.tools.OpenAPISpec class method)
from_string() (langchain.chains.LLMChain class method)
from_template() (langchain.prompts.PromptTemplate class method)
from_text() (langchain.tools.OpenAPISpec class method)
from_texts() (langchain.retrievers.SVMRetriever class method)
(langchain.retrievers.TFIDFRetriever class method)
(langchain.vectorstores.AnalyticDB class method)
(langchain.vectorstores.Annoy class method)
(langchain.vectorstores.AtlasDB class method)
(langchain.vectorstores.Chroma class method)
(langchain.vectorstores.DeepLake class method)
(langchain.vectorstores.ElasticVectorSearch class method)
(langchain.vectorstores.FAISS class method)
(langchain.vectorstores.Milvus class method)
(langchain.vectorstores.MyScale class method)
(langchain.vectorstores.OpenSearchVectorSearch class method)
(langchain.vectorstores.Pinecone class method)
(langchain.vectorstores.Qdrant class method)
(langchain.vectorstores.SupabaseVectorStore class method)
(langchain.vectorstores.VectorStore class method)
(langchain.vectorstores.Weaviate class method)
(langchain.vectorstores.Zilliz class method)
from_tiktoken_encoder() (langchain.text_splitter.TextSplitter class method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-25
|
from_tiktoken_encoder() (langchain.text_splitter.TextSplitter class method)
from_url() (langchain.tools.OpenAPISpec class method)
from_url_and_method() (langchain.chains.OpenAPIEndpointChain class method)
from_youtube_url() (langchain.document_loaders.YoutubeLoader class method)
from_zapier_nla_wrapper() (langchain.agents.agent_toolkits.ZapierToolkit class method)
FRONT_MATTER_REGEX (langchain.document_loaders.ObsidianLoader attribute)
full_key_prefix (langchain.memory.RedisEntityStore property)
func (langchain.agents.Tool attribute)
G
GCSDirectoryLoader (class in langchain.document_loaders)
GCSFileLoader (class in langchain.document_loaders)
generate() (langchain.chains.LLMChain method)
(langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-26
|
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
generate_dialogue_response() (langchain.experimental.GenerativeAgent method)
generate_prompt() (langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-27
|
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
generate_reaction() (langchain.experimental.GenerativeAgent method)
GenerativeAgent (class in langchain.experimental)
GenerativeAgentMemory (class in langchain.experimental)
get() (langchain.memory.InMemoryEntityStore method)
(langchain.memory.RedisEntityStore method)
(langchain.utilities.TextRequestsWrapper method)
get_all_tool_names() (in module langchain.agents)
get_allowed_tools() (langchain.agents.Agent method)
(langchain.agents.BaseMultiActionAgent method)
(langchain.agents.BaseSingleActionAgent method)
get_answer_expr (langchain.chains.PALChain attribute)
get_cleaned_operation_id() (langchain.tools.OpenAPISpec static method)
get_collection() (langchain.vectorstores.AnalyticDB method)
get_connection_string() (langchain.vectorstores.AnalyticDB class method)
get_current_entities() (langchain.memory.ConversationKGMemory method)
get_format_instructions() (langchain.output_parsers.CommaSeparatedListOutputParser method)
(langchain.output_parsers.GuardrailsOutputParser method)
(langchain.output_parsers.OutputFixingParser method)
(langchain.output_parsers.PydanticOutputParser method)
(langchain.output_parsers.RetryOutputParser method)
(langchain.output_parsers.RetryWithErrorOutputParser method)
(langchain.output_parsers.StructuredOutputParser method)
get_full_header() (langchain.experimental.GenerativeAgent method)
get_full_inputs() (langchain.agents.Agent method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-28
|
get_full_inputs() (langchain.agents.Agent method)
get_input (langchain.retrievers.document_compressors.LLMChainExtractor attribute)
(langchain.retrievers.document_compressors.LLMChainFilter attribute)
get_knowledge_triplets() (langchain.memory.ConversationKGMemory method)
get_methods_for_path() (langchain.tools.OpenAPISpec method)
get_next_task() (langchain.experimental.BabyAGI method)
get_num_tokens() (langchain.chat_models.ChatOpenAI method)
(langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-29
|
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
get_num_tokens_from_messages() (langchain.chat_models.ChatOpenAI method)
(langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
get_operation() (langchain.tools.OpenAPISpec method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-30
|
get_operation() (langchain.tools.OpenAPISpec method)
get_parameters_for_operation() (langchain.tools.OpenAPISpec method)
get_params() (langchain.serpapi.SerpAPIWrapper method)
(langchain.utilities.SerpAPIWrapper method)
get_principles() (langchain.chains.ConstitutionalChain class method)
get_referenced_schema() (langchain.tools.OpenAPISpec method)
get_relevant_documents() (langchain.retrievers.ChatGPTPluginRetriever method)
(langchain.retrievers.ContextualCompressionRetriever method)
(langchain.retrievers.DataberryRetriever method)
(langchain.retrievers.ElasticSearchBM25Retriever method)
(langchain.retrievers.MetalRetriever method)
(langchain.retrievers.PineconeHybridSearchRetriever method)
(langchain.retrievers.RemoteLangChainRetriever method)
(langchain.retrievers.SVMRetriever method)
(langchain.retrievers.TFIDFRetriever method)
(langchain.retrievers.TimeWeightedVectorStoreRetriever method)
(langchain.retrievers.WeaviateHybridSearchRetriever method)
get_request_body_for_operation() (langchain.tools.OpenAPISpec method)
get_salient_docs() (langchain.retrievers.TimeWeightedVectorStoreRetriever method)
get_schemas() (langchain.utilities.PowerBIDataset method)
get_stateful_documents() (in module langchain.document_transformers)
get_sub_prompts() (langchain.llms.AzureOpenAI method)
(langchain.llms.OpenAI method)
(langchain.llms.PromptLayerOpenAI method)
get_summary() (langchain.experimental.GenerativeAgent method)
get_table_info() (langchain.utilities.PowerBIDataset method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-31
|
get_table_info() (langchain.utilities.PowerBIDataset method)
get_table_names() (langchain.utilities.PowerBIDataset method)
get_text_length (langchain.prompts.example_selector.LengthBasedExampleSelector attribute)
get_tools() (langchain.agents.agent_toolkits.JiraToolkit method)
(langchain.agents.agent_toolkits.JsonToolkit method)
(langchain.agents.agent_toolkits.NLAToolkit method)
(langchain.agents.agent_toolkits.OpenAPIToolkit method)
(langchain.agents.agent_toolkits.PowerBIToolkit method)
(langchain.agents.agent_toolkits.SQLDatabaseToolkit method)
(langchain.agents.agent_toolkits.VectorStoreRouterToolkit method)
(langchain.agents.agent_toolkits.VectorStoreToolkit method)
(langchain.agents.agent_toolkits.ZapierToolkit method)
GitbookLoader (class in langchain.document_loaders)
GitLoader (class in langchain.document_loaders)
gl (langchain.utilities.GoogleSerperAPIWrapper attribute)
globals (langchain.python.PythonREPL attribute)
(langchain.utilities.PythonREPL attribute)
google_api_client (langchain.document_loaders.GoogleApiYoutubeLoader attribute)
google_api_key (langchain.utilities.GoogleSearchAPIWrapper attribute)
google_cse_id (langchain.utilities.GoogleSearchAPIWrapper attribute)
GoogleApiClient (class in langchain.document_loaders)
GoogleApiYoutubeLoader (class in langchain.document_loaders)
gplaces_api_key (langchain.utilities.GooglePlacesAPIWrapper attribute)
graph (langchain.chains.GraphQAChain attribute)
group_id (langchain.utilities.PowerBIDataset attribute)
guard (langchain.output_parsers.GuardrailsOutputParser attribute)
GutenbergLoader (class in langchain.document_loaders)
H
hardware (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-32
|
H
hardware (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
(langchain.llms.SelfHostedPipeline attribute)
headers (langchain.retrievers.RemoteLangChainRetriever attribute)
(langchain.utilities.PowerBIDataset property)
(langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
(langchain.utilities.TextRequestsWrapper attribute)
headless (langchain.document_loaders.PlaywrightURLLoader attribute)
(langchain.document_loaders.SeleniumURLLoader attribute)
hl (langchain.utilities.GoogleSerperAPIWrapper attribute)
HNLoader (class in langchain.document_loaders)
host (langchain.vectorstores.MyScaleSettings attribute)
hosting (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)
HuggingFaceDatasetLoader (class in langchain.document_loaders)
human_prefix (langchain.memory.ConversationBufferMemory attribute)
(langchain.memory.ConversationBufferWindowMemory attribute)
(langchain.memory.ConversationEntityMemory attribute)
(langchain.memory.ConversationKGMemory attribute)
(langchain.memory.ConversationStringBufferMemory attribute)
(langchain.memory.ConversationTokenBufferMemory attribute)
I
IFixitLoader (class in langchain.document_loaders)
ImageCaptionLoader (class in langchain.document_loaders)
impersonated_user_name (langchain.utilities.PowerBIDataset attribute)
importance_weight (langchain.experimental.GenerativeAgentMemory attribute)
IMSDbLoader (class in langchain.document_loaders)
index (langchain.retrievers.PineconeHybridSearchRetriever attribute)
(langchain.retrievers.SVMRetriever attribute)
index_param (langchain.vectorstores.MyScaleSettings attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-33
|
index_param (langchain.vectorstores.MyScaleSettings attribute)
index_type (langchain.vectorstores.MyScaleSettings attribute)
inference_fn (langchain.embeddings.SelfHostedEmbeddings attribute)
(langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
(langchain.llms.SelfHostedPipeline attribute)
inference_kwargs (langchain.embeddings.SelfHostedEmbeddings attribute)
info (langchain.tools.OpenAPISpec attribute)
initialize_agent() (in module langchain.agents)
InMemoryDocstore (class in langchain.docstore)
InMemoryEntityStore (class in langchain.memory)
input_key (langchain.chains.QAGenerationChain attribute)
(langchain.memory.ConversationStringBufferMemory attribute)
(langchain.memory.VectorStoreRetrieverMemory attribute)
(langchain.retrievers.RemoteLangChainRetriever attribute)
input_keys (langchain.chains.ConstitutionalChain property)
(langchain.chains.ConversationChain property)
(langchain.chains.HypotheticalDocumentEmbedder property)
(langchain.chains.QAGenerationChain property)
(langchain.experimental.BabyAGI property)
(langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)
input_variables (langchain.chains.SequentialChain attribute)
(langchain.chains.TransformChain attribute)
(langchain.prompts.BasePromptTemplate attribute)
(langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
(langchain.prompts.MessagesPlaceholder property)
(langchain.prompts.PromptTemplate attribute)
J
json() (langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-34
|
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
json_agent (langchain.agents.agent_toolkits.OpenAPIToolkit attribute)
jsonSchemaDialect (langchain.tools.OpenAPISpec attribute)
K
k (langchain.chains.QAGenerationChain attribute)
(langchain.chains.VectorDBQA attribute)
(langchain.chains.VectorDBQAWithSourcesChain attribute)
(langchain.llms.Cohere attribute)
(langchain.memory.ConversationBufferWindowMemory attribute)
(langchain.memory.ConversationEntityMemory attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-35
|
(langchain.memory.ConversationEntityMemory attribute)
(langchain.memory.ConversationKGMemory attribute)
(langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)
(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)
(langchain.retrievers.SVMRetriever attribute)
(langchain.retrievers.TFIDFRetriever attribute)
(langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)
(langchain.utilities.BingSearchAPIWrapper attribute)
(langchain.utilities.GoogleSearchAPIWrapper attribute)
(langchain.utilities.GoogleSerperAPIWrapper attribute)
(langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
key (langchain.memory.RedisChatMessageHistory property)
key_prefix (langchain.memory.RedisEntityStore attribute)
kg (langchain.memory.ConversationKGMemory attribute)
knowledge_extraction_prompt (langchain.memory.ConversationKGMemory attribute)
L
lang (langchain.utilities.WikipediaAPIWrapper attribute)
langchain.agents
module
langchain.agents.agent_toolkits
module
langchain.chains
module
langchain.chat_models
module
langchain.docstore
module
langchain.document_loaders
module
langchain.document_transformers
module
langchain.embeddings
module
langchain.llms
module
langchain.memory
module
langchain.output_parsers
module
langchain.prompts
module
langchain.prompts.example_selector
module
langchain.python
module
langchain.retrievers
module
langchain.retrievers.document_compressors
module
langchain.serpapi
module
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-36
|
module
langchain.serpapi
module
langchain.text_splitter
module
langchain.tools
module
langchain.utilities
module
langchain.utilities.searx_search
module
langchain.vectorstores
module
last_n_tokens_size (langchain.llms.LlamaCpp attribute)
last_refreshed (langchain.experimental.GenerativeAgent attribute)
LatexTextSplitter (class in langchain.text_splitter)
length (langchain.llms.ForefrontAI attribute)
(langchain.llms.Writer attribute)
length_no_input (langchain.llms.NLPCloud attribute)
length_penalty (langchain.llms.NLPCloud attribute)
length_pentaly (langchain.llms.Writer attribute)
list_assertions_prompt (langchain.chains.LLMCheckerChain attribute)
llm (langchain.agents.agent_toolkits.PowerBIToolkit attribute)
(langchain.agents.agent_toolkits.SQLDatabaseToolkit attribute)
(langchain.agents.agent_toolkits.VectorStoreRouterToolkit attribute)
(langchain.agents.agent_toolkits.VectorStoreToolkit attribute)
(langchain.chains.LLMBashChain attribute)
(langchain.chains.LLMChain attribute)
(langchain.chains.LLMCheckerChain attribute)
(langchain.chains.LLMMathChain attribute)
(langchain.chains.LLMSummarizationCheckerChain attribute)
(langchain.chains.PALChain attribute)
(langchain.chains.SQLDatabaseChain attribute)
(langchain.experimental.GenerativeAgent attribute)
(langchain.experimental.GenerativeAgentMemory attribute)
(langchain.memory.ConversationEntityMemory attribute)
(langchain.memory.ConversationKGMemory attribute)
(langchain.memory.ConversationTokenBufferMemory attribute)
llm_chain (langchain.agents.Agent attribute)
(langchain.agents.LLMSingleActionAgent attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-37
|
(langchain.agents.LLMSingleActionAgent attribute)
(langchain.chains.HypotheticalDocumentEmbedder attribute)
(langchain.chains.LLMRequestsChain attribute)
(langchain.chains.QAGenerationChain attribute)
(langchain.retrievers.document_compressors.LLMChainExtractor attribute)
(langchain.retrievers.document_compressors.LLMChainFilter attribute)
llm_prefix (langchain.agents.Agent property)
(langchain.agents.ConversationalAgent property)
(langchain.agents.ConversationalChatAgent property)
(langchain.agents.ZeroShotAgent property)
load() (langchain.document_loaders.AirbyteJSONLoader method)
(langchain.document_loaders.ApifyDatasetLoader method)
(langchain.document_loaders.AZLyricsLoader method)
(langchain.document_loaders.AzureBlobStorageContainerLoader method)
(langchain.document_loaders.AzureBlobStorageFileLoader method)
(langchain.document_loaders.BigQueryLoader method)
(langchain.document_loaders.BiliBiliLoader method)
(langchain.document_loaders.BlackboardLoader method)
(langchain.document_loaders.BSHTMLLoader method)
(langchain.document_loaders.ChatGPTLoader method)
(langchain.document_loaders.CollegeConfidentialLoader method)
(langchain.document_loaders.ConfluenceLoader method)
(langchain.document_loaders.CoNLLULoader method)
(langchain.document_loaders.CSVLoader method)
(langchain.document_loaders.DataFrameLoader method)
(langchain.document_loaders.DiffbotLoader method)
(langchain.document_loaders.DirectoryLoader method)
(langchain.document_loaders.DiscordChatLoader method)
(langchain.document_loaders.DuckDBLoader method)
(langchain.document_loaders.EverNoteLoader method)
(langchain.document_loaders.FacebookChatLoader method)
(langchain.document_loaders.GCSDirectoryLoader method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-38
|
(langchain.document_loaders.GCSDirectoryLoader method)
(langchain.document_loaders.GCSFileLoader method)
(langchain.document_loaders.GitbookLoader method)
(langchain.document_loaders.GitLoader method)
(langchain.document_loaders.GoogleApiYoutubeLoader method)
(langchain.document_loaders.GoogleDriveLoader method)
(langchain.document_loaders.GutenbergLoader method)
(langchain.document_loaders.HNLoader method)
(langchain.document_loaders.HuggingFaceDatasetLoader method)
(langchain.document_loaders.IFixitLoader method)
(langchain.document_loaders.ImageCaptionLoader method)
(langchain.document_loaders.IMSDbLoader method)
(langchain.document_loaders.NotebookLoader method)
(langchain.document_loaders.NotionDBLoader method)
(langchain.document_loaders.NotionDirectoryLoader method)
(langchain.document_loaders.ObsidianLoader method)
(langchain.document_loaders.OnlinePDFLoader method)
(langchain.document_loaders.OutlookMessageLoader method)
(langchain.document_loaders.PDFMinerLoader method)
(langchain.document_loaders.PDFMinerPDFasHTMLLoader method)
(langchain.document_loaders.PlaywrightURLLoader method)
(langchain.document_loaders.PyMuPDFLoader method)
(langchain.document_loaders.PyPDFLoader method)
(langchain.document_loaders.ReadTheDocsLoader method)
(langchain.document_loaders.RoamLoader method)
(langchain.document_loaders.S3DirectoryLoader method)
(langchain.document_loaders.S3FileLoader method)
(langchain.document_loaders.SeleniumURLLoader method)
(langchain.document_loaders.SitemapLoader method)
(langchain.document_loaders.SlackDirectoryLoader method)
(langchain.document_loaders.SRTLoader method)
(langchain.document_loaders.TelegramChatLoader method)
(langchain.document_loaders.TextLoader method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-39
|
(langchain.document_loaders.TextLoader method)
(langchain.document_loaders.TwitterTweetLoader method)
(langchain.document_loaders.UnstructuredURLLoader method)
(langchain.document_loaders.WebBaseLoader method)
(langchain.document_loaders.WhatsAppChatLoader method)
(langchain.document_loaders.YoutubeLoader method)
load_agent() (in module langchain.agents)
load_all_recursively (langchain.document_loaders.BlackboardLoader attribute)
load_chain() (in module langchain.chains)
load_comments() (langchain.document_loaders.HNLoader method)
load_device() (langchain.document_loaders.IFixitLoader method)
load_fn_kwargs (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
(langchain.llms.SelfHostedPipeline attribute)
load_guide() (langchain.document_loaders.IFixitLoader method)
load_local() (langchain.vectorstores.Annoy class method)
(langchain.vectorstores.FAISS class method)
load_memory_variables() (langchain.experimental.GenerativeAgentMemory method)
(langchain.memory.CombinedMemory method)
(langchain.memory.ConversationBufferMemory method)
(langchain.memory.ConversationBufferWindowMemory method)
(langchain.memory.ConversationEntityMemory method)
(langchain.memory.ConversationKGMemory method)
(langchain.memory.ConversationStringBufferMemory method)
(langchain.memory.ConversationSummaryBufferMemory method)
(langchain.memory.ConversationSummaryMemory method)
(langchain.memory.ConversationTokenBufferMemory method)
(langchain.memory.ReadOnlySharedMemory method)
(langchain.memory.SimpleMemory method)
(langchain.memory.VectorStoreRetrieverMemory method)
load_messages() (langchain.memory.CosmosDBChatMessageHistory method)
load_page() (langchain.document_loaders.NotionDBLoader method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-40
|
load_page() (langchain.document_loaders.NotionDBLoader method)
load_prompt() (in module langchain.prompts)
load_questions_and_answers() (langchain.document_loaders.IFixitLoader method)
load_results() (langchain.document_loaders.HNLoader method)
load_suggestions() (langchain.document_loaders.IFixitLoader static method)
load_tools() (in module langchain.agents)
locals (langchain.python.PythonREPL attribute)
(langchain.utilities.PythonREPL attribute)
log_probs (langchain.llms.AlephAlpha attribute)
logit_bias (langchain.llms.AlephAlpha attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.GooseAI attribute)
logitBias (langchain.llms.AI21 attribute)
logits_all (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
logprobs (langchain.llms.LlamaCpp attribute)
(langchain.llms.Writer attribute)
lookup_tool() (langchain.agents.AgentExecutor method)
lora_base (langchain.llms.LlamaCpp attribute)
lora_path (langchain.llms.LlamaCpp attribute)
M
MarkdownTextSplitter (class in langchain.text_splitter)
max_checks (langchain.chains.LLMSummarizationCheckerChain attribute)
max_execution_time (langchain.agents.AgentExecutor attribute)
(langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
max_iterations (langchain.agents.AgentExecutor attribute)
(langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-41
|
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
max_length (langchain.llms.NLPCloud attribute)
(langchain.llms.Petals attribute)
(langchain.prompts.example_selector.LengthBasedExampleSelector attribute)
max_marginal_relevance_search() (langchain.vectorstores.Annoy method)
(langchain.vectorstores.Chroma method)
(langchain.vectorstores.DeepLake method)
(langchain.vectorstores.FAISS method)
(langchain.vectorstores.Milvus method)
(langchain.vectorstores.Qdrant method)
(langchain.vectorstores.SupabaseVectorStore method)
(langchain.vectorstores.VectorStore method)
(langchain.vectorstores.Weaviate method)
max_marginal_relevance_search_by_vector() (langchain.vectorstores.Annoy method)
(langchain.vectorstores.Chroma method)
(langchain.vectorstores.DeepLake method)
(langchain.vectorstores.FAISS method)
(langchain.vectorstores.Milvus method)
(langchain.vectorstores.SupabaseVectorStore method)
(langchain.vectorstores.VectorStore method)
(langchain.vectorstores.Weaviate method)
max_new_tokens (langchain.llms.Petals attribute)
max_retries (langchain.chat_models.ChatOpenAI attribute)
(langchain.embeddings.OpenAIEmbeddings attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.OpenAIChat attribute)
(langchain.llms.PromptLayerOpenAIChat attribute)
max_token_limit (langchain.memory.ConversationSummaryBufferMemory attribute)
(langchain.memory.ConversationTokenBufferMemory attribute)
max_tokens (langchain.chat_models.ChatOpenAI attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.Cohere attribute)
(langchain.llms.GooseAI attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-42
|
(langchain.llms.Cohere attribute)
(langchain.llms.GooseAI attribute)
(langchain.llms.LlamaCpp attribute)
(langchain.llms.PredictionGuard attribute)
max_tokens_for_prompt() (langchain.llms.AzureOpenAI method)
(langchain.llms.OpenAI method)
(langchain.llms.PromptLayerOpenAI method)
max_tokens_limit (langchain.chains.ConversationalRetrievalChain attribute)
(langchain.chains.RetrievalQAWithSourcesChain attribute)
(langchain.chains.VectorDBQAWithSourcesChain attribute)
max_tokens_per_generation (langchain.llms.RWKV attribute)
max_tokens_to_sample (langchain.llms.Anthropic attribute)
maximum_tokens (langchain.llms.AlephAlpha attribute)
maxTokens (langchain.llms.AI21 attribute)
memories (langchain.memory.CombinedMemory attribute)
(langchain.memory.SimpleMemory attribute)
memory (langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
(langchain.chains.ConversationChain attribute)
(langchain.experimental.GenerativeAgent attribute)
(langchain.memory.ReadOnlySharedMemory attribute)
memory_key (langchain.memory.ConversationSummaryBufferMemory attribute)
(langchain.memory.ConversationTokenBufferMemory attribute)
(langchain.memory.VectorStoreRetrieverMemory attribute)
memory_retriever (langchain.experimental.GenerativeAgentMemory attribute)
memory_stream (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)
memory_variables (langchain.experimental.GenerativeAgentMemory property)
(langchain.memory.CombinedMemory property)
(langchain.memory.ConversationStringBufferMemory property)
(langchain.memory.ReadOnlySharedMemory property)
(langchain.memory.SimpleMemory property)
(langchain.memory.VectorStoreRetrieverMemory property)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-43
|
(langchain.memory.SimpleMemory property)
(langchain.memory.VectorStoreRetrieverMemory property)
merge_from() (langchain.vectorstores.FAISS method)
messages (langchain.memory.ChatMessageHistory attribute)
(langchain.memory.CosmosDBChatMessageHistory attribute)
(langchain.memory.DynamoDBChatMessageHistory property)
(langchain.memory.PostgresChatMessageHistory property)
(langchain.memory.RedisChatMessageHistory property)
metadata_column (langchain.vectorstores.MyScale property)
metadata_key (langchain.retrievers.RemoteLangChainRetriever attribute)
METADATA_KEY (langchain.vectorstores.Qdrant attribute)
MetalRetriever (class in langchain.retrievers)
method (langchain.tools.APIOperation attribute)
metric (langchain.vectorstores.MyScaleSettings attribute)
Milvus (class in langchain.vectorstores)
min_length (langchain.llms.NLPCloud attribute)
min_tokens (langchain.llms.GooseAI attribute)
minimum_tokens (langchain.llms.AlephAlpha attribute)
minTokens (langchain.llms.AI21 attribute)
model (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)
(langchain.embeddings.CohereEmbeddings attribute)
(langchain.llms.AI21 attribute)
(langchain.llms.AlephAlpha attribute)
(langchain.llms.Anthropic attribute)
(langchain.llms.Cohere attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.RWKV attribute)
model_id (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)
(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)
(langchain.llms.HuggingFacePipeline attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
(langchain.llms.Writer attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-44
|
(langchain.llms.Writer attribute)
model_key (langchain.llms.Banana attribute)
model_kwargs (langchain.chat_models.ChatOpenAI attribute)
(langchain.embeddings.HuggingFaceEmbeddings attribute)
(langchain.embeddings.HuggingFaceHubEmbeddings attribute)
(langchain.embeddings.HuggingFaceInstructEmbeddings attribute)
(langchain.embeddings.SagemakerEndpointEmbeddings attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.Banana attribute)
(langchain.llms.CerebriumAI attribute)
(langchain.llms.GooseAI attribute)
(langchain.llms.HuggingFaceEndpoint attribute)
(langchain.llms.HuggingFaceHub attribute)
(langchain.llms.HuggingFacePipeline attribute)
(langchain.llms.Modal attribute)
(langchain.llms.OpenAIChat attribute)
(langchain.llms.Petals attribute)
(langchain.llms.PromptLayerOpenAIChat attribute)
(langchain.llms.SagemakerEndpoint attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
(langchain.llms.StochasticAI attribute)
model_load_fn (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
(langchain.llms.SelfHostedPipeline attribute)
model_name (langchain.chains.OpenAIModerationChain attribute)
(langchain.chat_models.ChatOpenAI attribute)
(langchain.embeddings.HuggingFaceEmbeddings attribute)
(langchain.embeddings.HuggingFaceInstructEmbeddings attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.GooseAI attribute)
(langchain.llms.NLPCloud attribute)
(langchain.llms.OpenAIChat attribute)
(langchain.llms.Petals attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-45
|
(langchain.llms.OpenAIChat attribute)
(langchain.llms.Petals attribute)
(langchain.llms.PromptLayerOpenAIChat attribute)
model_path (langchain.llms.LlamaCpp attribute)
model_reqs (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)
(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
(langchain.llms.SelfHostedPipeline attribute)
model_url (langchain.embeddings.TensorflowHubEmbeddings attribute)
modelname_to_contextsize() (langchain.llms.AzureOpenAI method)
(langchain.llms.OpenAI method)
(langchain.llms.PromptLayerOpenAI method)
module
langchain.agents
langchain.agents.agent_toolkits
langchain.chains
langchain.chat_models
langchain.docstore
langchain.document_loaders
langchain.document_transformers
langchain.embeddings
langchain.llms
langchain.memory
langchain.output_parsers
langchain.prompts
langchain.prompts.example_selector
langchain.python
langchain.retrievers
langchain.retrievers.document_compressors
langchain.serpapi
langchain.text_splitter
langchain.tools
langchain.utilities
langchain.utilities.searx_search
langchain.vectorstores
moving_summary_buffer (langchain.memory.ConversationSummaryBufferMemory attribute)
MyScale (class in langchain.vectorstores)
N
n (langchain.chat_models.ChatOpenAI attribute)
(langchain.llms.AlephAlpha attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.GooseAI attribute)
n_batch (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-46
|
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
n_ctx (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
n_parts (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
n_predict (langchain.llms.GPT4All attribute)
n_threads (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
name (langchain.agents.agent_toolkits.VectorStoreInfo attribute)
(langchain.experimental.GenerativeAgent attribute)
(langchain.llms.PredictionGuard attribute)
(langchain.output_parsers.ResponseSchema attribute)
(langchain.tools.BaseTool attribute)
nla_tools (langchain.agents.agent_toolkits.NLAToolkit attribute)
NLTKTextSplitter (class in langchain.text_splitter)
no_update_value (langchain.output_parsers.RegexDictParser attribute)
normalize (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)
NotebookLoader (class in langchain.document_loaders)
NotionDBLoader (class in langchain.document_loaders)
NotionDirectoryLoader (class in langchain.document_loaders)
num_beams (langchain.llms.NLPCloud attribute)
num_return_sequences (langchain.llms.NLPCloud attribute)
numResults (langchain.llms.AI21 attribute)
O
observation_prefix (langchain.agents.Agent property)
(langchain.agents.ConversationalAgent property)
(langchain.agents.ConversationalChatAgent property)
(langchain.agents.ZeroShotAgent property)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-47
|
(langchain.agents.ZeroShotAgent property)
ObsidianLoader (class in langchain.document_loaders)
OnlinePDFLoader (class in langchain.document_loaders)
openai_api_base (langchain.chat_models.AzureChatOpenAI attribute)
openai_api_key (langchain.chains.OpenAIModerationChain attribute)
(langchain.chat_models.AzureChatOpenAI attribute)
(langchain.chat_models.ChatOpenAI attribute)
openai_api_type (langchain.chat_models.AzureChatOpenAI attribute)
openai_api_version (langchain.chat_models.AzureChatOpenAI attribute)
openai_organization (langchain.chains.OpenAIModerationChain attribute)
(langchain.chat_models.AzureChatOpenAI attribute)
(langchain.chat_models.ChatOpenAI attribute)
openapi (langchain.tools.OpenAPISpec attribute)
OpenSearchVectorSearch (class in langchain.vectorstores)
openweathermap_api_key (langchain.utilities.OpenWeatherMapAPIWrapper attribute)
operation_id (langchain.tools.APIOperation attribute)
other_score_keys (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)
OutlookMessageLoader (class in langchain.document_loaders)
output_key (langchain.chains.QAGenerationChain attribute)
(langchain.memory.ConversationStringBufferMemory attribute)
output_key_to_format (langchain.output_parsers.RegexDictParser attribute)
output_keys (langchain.chains.ConstitutionalChain property)
(langchain.chains.HypotheticalDocumentEmbedder property)
(langchain.chains.QAGenerationChain property)
(langchain.experimental.BabyAGI property)
(langchain.output_parsers.RegexParser attribute)
output_parser (langchain.agents.Agent attribute)
(langchain.agents.ConversationalAgent attribute)
(langchain.agents.ConversationalChatAgent attribute)
(langchain.agents.LLMSingleActionAgent attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-48
|
(langchain.agents.LLMSingleActionAgent attribute)
(langchain.agents.ReActTextWorldAgent attribute)
(langchain.agents.ZeroShotAgent attribute)
(langchain.prompts.BasePromptTemplate attribute)
output_variables (langchain.chains.TransformChain attribute)
owm (langchain.utilities.OpenWeatherMapAPIWrapper attribute)
P
p (langchain.llms.Cohere attribute)
page_content_key (langchain.retrievers.RemoteLangChainRetriever attribute)
PagedPDFSplitter (in module langchain.document_loaders)
paginate_request() (langchain.document_loaders.ConfluenceLoader method)
param_mapping (langchain.chains.OpenAPIEndpointChain attribute)
params (langchain.serpapi.SerpAPIWrapper attribute)
(langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
(langchain.utilities.SerpAPIWrapper attribute)
parse() (langchain.agents.AgentOutputParser method)
(langchain.output_parsers.CommaSeparatedListOutputParser method)
(langchain.output_parsers.GuardrailsOutputParser method)
(langchain.output_parsers.ListOutputParser method)
(langchain.output_parsers.OutputFixingParser method)
(langchain.output_parsers.PydanticOutputParser method)
(langchain.output_parsers.RegexDictParser method)
(langchain.output_parsers.RegexParser method)
(langchain.output_parsers.RetryOutputParser method)
(langchain.output_parsers.RetryWithErrorOutputParser method)
(langchain.output_parsers.StructuredOutputParser method)
parse_filename() (langchain.document_loaders.BlackboardLoader method)
parse_obj() (langchain.tools.OpenAPISpec class method)
parse_sitemap() (langchain.document_loaders.SitemapLoader method)
parse_with_prompt() (langchain.output_parsers.RetryOutputParser method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-49
|
parse_with_prompt() (langchain.output_parsers.RetryOutputParser method)
(langchain.output_parsers.RetryWithErrorOutputParser method)
parser (langchain.output_parsers.OutputFixingParser attribute)
(langchain.output_parsers.RetryOutputParser attribute)
(langchain.output_parsers.RetryWithErrorOutputParser attribute)
partial() (langchain.prompts.BasePromptTemplate method)
(langchain.prompts.ChatPromptTemplate method)
password (langchain.vectorstores.MyScaleSettings attribute)
patch() (langchain.utilities.TextRequestsWrapper method)
path (langchain.tools.APIOperation attribute)
path_params (langchain.tools.APIOperation property)
paths (langchain.tools.OpenAPISpec attribute)
pause_to_reflect() (langchain.experimental.GenerativeAgentMemory method)
PDFMinerLoader (class in langchain.document_loaders)
PDFMinerPDFasHTMLLoader (class in langchain.document_loaders)
penalty_alpha_frequency (langchain.llms.RWKV attribute)
penalty_alpha_presence (langchain.llms.RWKV attribute)
penalty_bias (langchain.llms.AlephAlpha attribute)
penalty_exceptions (langchain.llms.AlephAlpha attribute)
penalty_exceptions_include_stop_sequences (langchain.llms.AlephAlpha attribute)
persist() (langchain.vectorstores.Chroma method)
(langchain.vectorstores.DeepLake method)
Pinecone (class in langchain.vectorstores)
pl_tags (langchain.chat_models.PromptLayerChatOpenAI attribute)
plan() (langchain.agents.Agent method)
(langchain.agents.BaseMultiActionAgent method)
(langchain.agents.BaseSingleActionAgent method)
(langchain.agents.LLMSingleActionAgent method)
PlaywrightURLLoader (class in langchain.document_loaders)
plugin (langchain.tools.AIPluginTool attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-50
|
plugin (langchain.tools.AIPluginTool attribute)
port (langchain.vectorstores.MyScaleSettings attribute)
post() (langchain.utilities.TextRequestsWrapper method)
PostgresChatMessageHistory (class in langchain.memory)
powerbi (langchain.agents.agent_toolkits.PowerBIToolkit attribute)
predict() (langchain.chains.LLMChain method)
predict_and_parse() (langchain.chains.LLMChain method)
prefix (langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
prefix_messages (langchain.llms.OpenAIChat attribute)
(langchain.llms.PromptLayerOpenAIChat attribute)
prep_prompts() (langchain.chains.LLMChain method)
prep_streaming_params() (langchain.llms.AzureOpenAI method)
(langchain.llms.OpenAI method)
(langchain.llms.PromptLayerOpenAI method)
prepare_cosmos() (langchain.memory.CosmosDBChatMessageHistory method)
presence_penalty (langchain.llms.AlephAlpha attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.Cohere attribute)
(langchain.llms.GooseAI attribute)
presencePenalty (langchain.llms.AI21 attribute)
prioritize_tasks() (langchain.experimental.BabyAGI method)
process_attachment() (langchain.document_loaders.ConfluenceLoader method)
process_doc() (langchain.document_loaders.ConfluenceLoader method)
process_image() (langchain.document_loaders.ConfluenceLoader method)
process_index_results() (langchain.vectorstores.Annoy method)
process_page() (langchain.document_loaders.ConfluenceLoader method)
process_pdf() (langchain.document_loaders.ConfluenceLoader method)
process_svg() (langchain.document_loaders.ConfluenceLoader method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-51
|
process_svg() (langchain.document_loaders.ConfluenceLoader method)
process_xls() (langchain.document_loaders.ConfluenceLoader method)
Prompt (in module langchain.prompts)
prompt (langchain.chains.ConversationChain attribute)
(langchain.chains.LLMBashChain attribute)
(langchain.chains.LLMChain attribute)
(langchain.chains.LLMMathChain attribute)
(langchain.chains.PALChain attribute)
(langchain.chains.SQLDatabaseChain attribute)
properties (langchain.tools.APIOperation attribute)
put() (langchain.utilities.TextRequestsWrapper method)
pydantic_object (langchain.output_parsers.PydanticOutputParser attribute)
PyMuPDFLoader (class in langchain.document_loaders)
PyPDFLoader (class in langchain.document_loaders)
python_globals (langchain.chains.PALChain attribute)
python_locals (langchain.chains.PALChain attribute)
PythonCodeTextSplitter (class in langchain.text_splitter)
PythonLoader (class in langchain.document_loaders)
Q
qa_chain (langchain.chains.GraphQAChain attribute)
Qdrant (class in langchain.vectorstores)
query_instruction (langchain.embeddings.HuggingFaceInstructEmbeddings attribute)
(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)
query_name (langchain.vectorstores.SupabaseVectorStore attribute)
query_params (langchain.tools.APIOperation property)
query_suffix (langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
R
random_seed (langchain.llms.Writer attribute)
raw_completion (langchain.llms.AlephAlpha attribute)
REACT_DOCSTORE (langchain.agents.AgentType attribute)
ReadTheDocsLoader (class in langchain.document_loaders)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-52
|
ReadTheDocsLoader (class in langchain.document_loaders)
recall_ttl (langchain.memory.RedisEntityStore attribute)
recursive (langchain.document_loaders.GoogleDriveLoader attribute)
RecursiveCharacterTextSplitter (class in langchain.text_splitter)
redis_client (langchain.memory.RedisEntityStore attribute)
RedisChatMessageHistory (class in langchain.memory)
RedisEntityStore (class in langchain.memory)
reduce_k_below_max_tokens (langchain.chains.RetrievalQAWithSourcesChain attribute)
(langchain.chains.VectorDBQAWithSourcesChain attribute)
reflection_threshold (langchain.experimental.GenerativeAgentMemory attribute)
regex (langchain.output_parsers.RegexParser attribute)
regex_pattern (langchain.output_parsers.RegexDictParser attribute)
region_name (langchain.embeddings.SagemakerEndpointEmbeddings attribute)
(langchain.llms.SagemakerEndpoint attribute)
relevancy_threshold (langchain.retrievers.SVMRetriever attribute)
remove_end_sequence (langchain.llms.NLPCloud attribute)
remove_input (langchain.llms.NLPCloud attribute)
repeat_last_n (langchain.llms.GPT4All attribute)
repeat_penalty (langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
repetition_penalties_include_completion (langchain.llms.AlephAlpha attribute)
repetition_penalties_include_prompt (langchain.llms.AlephAlpha attribute)
repetition_penalty (langchain.llms.ForefrontAI attribute)
(langchain.llms.NLPCloud attribute)
(langchain.llms.Writer attribute)
repo_id (langchain.embeddings.HuggingFaceHubEmbeddings attribute)
(langchain.llms.HuggingFaceHub attribute)
request_body (langchain.tools.APIOperation attribute)
request_timeout (langchain.chat_models.ChatOpenAI attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-53
|
request_timeout (langchain.chat_models.ChatOpenAI attribute)
(langchain.llms.AzureOpenAI attribute)
request_url (langchain.utilities.PowerBIDataset property)
requests (langchain.chains.OpenAPIEndpointChain attribute)
(langchain.utilities.TextRequestsWrapper property)
requests_per_second (langchain.document_loaders.WebBaseLoader attribute)
requests_wrapper (langchain.agents.agent_toolkits.OpenAPIToolkit attribute)
(langchain.chains.APIChain attribute)
(langchain.chains.LLMRequestsChain attribute)
response_key (langchain.retrievers.RemoteLangChainRetriever attribute)
response_schemas (langchain.output_parsers.StructuredOutputParser attribute)
results() (langchain.serpapi.SerpAPIWrapper method)
(langchain.utilities.BingSearchAPIWrapper method)
(langchain.utilities.GoogleSearchAPIWrapper method)
(langchain.utilities.searx_search.SearxSearchWrapper method)
(langchain.utilities.SearxSearchWrapper method)
(langchain.utilities.SerpAPIWrapper method)
retriever (langchain.chains.ConversationalRetrievalChain attribute)
(langchain.chains.RetrievalQA attribute)
(langchain.chains.RetrievalQAWithSourcesChain attribute)
(langchain.memory.VectorStoreRetrieverMemory attribute)
retry_chain (langchain.output_parsers.OutputFixingParser attribute)
(langchain.output_parsers.RetryOutputParser attribute)
(langchain.output_parsers.RetryWithErrorOutputParser attribute)
return_all (langchain.chains.SequentialChain attribute)
return_direct (langchain.chains.SQLDatabaseChain attribute)
(langchain.tools.BaseTool attribute)
return_docs (langchain.memory.VectorStoreRetrieverMemory attribute)
return_intermediate_steps (langchain.agents.AgentExecutor attribute)
(langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-54
|
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
(langchain.chains.OpenAPIEndpointChain attribute)
(langchain.chains.PALChain attribute)
(langchain.chains.SQLDatabaseChain attribute)
(langchain.chains.SQLDatabaseSequentialChain attribute)
return_pl_id (langchain.chat_models.PromptLayerChatOpenAI attribute)
return_stopped_response() (langchain.agents.Agent method)
(langchain.agents.BaseMultiActionAgent method)
(langchain.agents.BaseSingleActionAgent method)
return_values (langchain.agents.Agent property)
(langchain.agents.BaseMultiActionAgent property)
(langchain.agents.BaseSingleActionAgent property)
revised_answer_prompt (langchain.chains.LLMCheckerChain attribute)
revised_summary_prompt (langchain.chains.LLMSummarizationCheckerChain attribute)
revision_chain (langchain.chains.ConstitutionalChain attribute)
RoamLoader (class in langchain.document_loaders)
run() (langchain.python.PythonREPL method)
(langchain.serpapi.SerpAPIWrapper method)
(langchain.tools.BaseTool method)
(langchain.utilities.ArxivAPIWrapper method)
(langchain.utilities.BashProcess method)
(langchain.utilities.BingSearchAPIWrapper method)
(langchain.utilities.GooglePlacesAPIWrapper method)
(langchain.utilities.GoogleSearchAPIWrapper method)
(langchain.utilities.GoogleSerperAPIWrapper method)
(langchain.utilities.OpenWeatherMapAPIWrapper method)
(langchain.utilities.PowerBIDataset method)
(langchain.utilities.PythonREPL method)
(langchain.utilities.searx_search.SearxSearchWrapper method)
(langchain.utilities.SearxSearchWrapper method)
(langchain.utilities.SerpAPIWrapper method)
(langchain.utilities.WikipediaAPIWrapper method)
(langchain.utilities.WolframAlphaAPIWrapper method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-55
|
(langchain.utilities.WolframAlphaAPIWrapper method)
rwkv_verbose (langchain.llms.RWKV attribute)
S
S3DirectoryLoader (class in langchain.document_loaders)
S3FileLoader (class in langchain.document_loaders)
sample_rows_in_table_info (langchain.utilities.PowerBIDataset attribute)
save() (langchain.agents.AgentExecutor method)
(langchain.agents.BaseMultiActionAgent method)
(langchain.agents.BaseSingleActionAgent method)
(langchain.llms.AI21 method)
(langchain.llms.AlephAlpha method)
(langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.Banana method)
(langchain.llms.CerebriumAI method)
(langchain.llms.Cohere method)
(langchain.llms.DeepInfra method)
(langchain.llms.ForefrontAI method)
(langchain.llms.GooseAI method)
(langchain.llms.GPT4All method)
(langchain.llms.HuggingFaceEndpoint method)
(langchain.llms.HuggingFaceHub method)
(langchain.llms.HuggingFacePipeline method)
(langchain.llms.LlamaCpp method)
(langchain.llms.Modal method)
(langchain.llms.NLPCloud method)
(langchain.llms.OpenAI method)
(langchain.llms.OpenAIChat method)
(langchain.llms.Petals method)
(langchain.llms.PredictionGuard method)
(langchain.llms.PromptLayerOpenAI method)
(langchain.llms.PromptLayerOpenAIChat method)
(langchain.llms.Replicate method)
(langchain.llms.RWKV method)
(langchain.llms.SagemakerEndpoint method)
(langchain.llms.SelfHostedHuggingFaceLLM method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-56
|
(langchain.llms.SelfHostedHuggingFaceLLM method)
(langchain.llms.SelfHostedPipeline method)
(langchain.llms.StochasticAI method)
(langchain.llms.Writer method)
(langchain.prompts.BasePromptTemplate method)
(langchain.prompts.ChatPromptTemplate method)
save_agent() (langchain.agents.AgentExecutor method)
save_context() (langchain.experimental.GenerativeAgentMemory method)
(langchain.memory.CombinedMemory method)
(langchain.memory.ConversationEntityMemory method)
(langchain.memory.ConversationKGMemory method)
(langchain.memory.ConversationStringBufferMemory method)
(langchain.memory.ConversationSummaryBufferMemory method)
(langchain.memory.ConversationSummaryMemory method)
(langchain.memory.ConversationTokenBufferMemory method)
(langchain.memory.ReadOnlySharedMemory method)
(langchain.memory.SimpleMemory method)
(langchain.memory.VectorStoreRetrieverMemory method)
save_local() (langchain.vectorstores.Annoy method)
(langchain.vectorstores.FAISS method)
schemas (langchain.utilities.PowerBIDataset attribute)
scrape() (langchain.document_loaders.WebBaseLoader method)
scrape_all() (langchain.document_loaders.WebBaseLoader method)
search() (langchain.docstore.InMemoryDocstore method)
(langchain.docstore.Wikipedia method)
(langchain.vectorstores.DeepLake method)
search_kwargs (langchain.chains.ChatVectorDBChain attribute)
(langchain.chains.VectorDBQA attribute)
(langchain.chains.VectorDBQAWithSourcesChain attribute)
(langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)
search_type (langchain.chains.VectorDBQA attribute)
searx_host (langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-57
|
(langchain.utilities.SearxSearchWrapper attribute)
SearxResults (class in langchain.utilities.searx_search)
security (langchain.tools.OpenAPISpec attribute)
seed (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
select_examples() (langchain.prompts.example_selector.LengthBasedExampleSelector method)
(langchain.prompts.example_selector.MaxMarginalRelevanceExampleSelector method)
(langchain.prompts.example_selector.SemanticSimilarityExampleSelector method)
SeleniumURLLoader (class in langchain.document_loaders)
SELF_ASK_WITH_SEARCH (langchain.agents.AgentType attribute)
serpapi_api_key (langchain.serpapi.SerpAPIWrapper attribute)
(langchain.utilities.SerpAPIWrapper attribute)
serper_api_key (langchain.utilities.GoogleSerperAPIWrapper attribute)
servers (langchain.tools.OpenAPISpec attribute)
service_account_key (langchain.document_loaders.GoogleDriveLoader attribute)
service_account_path (langchain.document_loaders.GoogleApiClient attribute)
session_id (langchain.memory.RedisEntityStore attribute)
set() (langchain.memory.InMemoryEntityStore method)
(langchain.memory.RedisEntityStore method)
similarity_fn (langchain.document_transformers.EmbeddingsRedundantFilter attribute)
(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)
similarity_search() (langchain.vectorstores.AnalyticDB method)
(langchain.vectorstores.Annoy method)
(langchain.vectorstores.AtlasDB method)
(langchain.vectorstores.Chroma method)
(langchain.vectorstores.DeepLake method)
(langchain.vectorstores.ElasticVectorSearch method)
(langchain.vectorstores.FAISS method)
(langchain.vectorstores.Milvus method)
(langchain.vectorstores.MyScale method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-58
|
(langchain.vectorstores.Milvus method)
(langchain.vectorstores.MyScale method)
(langchain.vectorstores.OpenSearchVectorSearch method)
(langchain.vectorstores.Pinecone method)
(langchain.vectorstores.Qdrant method)
(langchain.vectorstores.SupabaseVectorStore method)
(langchain.vectorstores.VectorStore method)
(langchain.vectorstores.Weaviate method)
similarity_search_by_index() (langchain.vectorstores.Annoy method)
similarity_search_by_vector() (langchain.vectorstores.AnalyticDB method)
(langchain.vectorstores.Annoy method)
(langchain.vectorstores.Chroma method)
(langchain.vectorstores.DeepLake method)
(langchain.vectorstores.FAISS method)
(langchain.vectorstores.Milvus method)
(langchain.vectorstores.MyScale method)
(langchain.vectorstores.SupabaseVectorStore method)
(langchain.vectorstores.VectorStore method)
(langchain.vectorstores.Weaviate method)
similarity_search_by_vector_returning_embeddings() (langchain.vectorstores.SupabaseVectorStore method)
similarity_search_by_vector_with_relevance_scores() (langchain.vectorstores.SupabaseVectorStore method)
similarity_search_with_relevance_scores() (langchain.vectorstores.MyScale method)
(langchain.vectorstores.SupabaseVectorStore method)
(langchain.vectorstores.VectorStore method)
similarity_search_with_score() (langchain.vectorstores.AnalyticDB method)
(langchain.vectorstores.Annoy method)
(langchain.vectorstores.Chroma method)
(langchain.vectorstores.DeepLake method)
(langchain.vectorstores.ElasticVectorSearch method)
(langchain.vectorstores.FAISS method)
(langchain.vectorstores.Milvus method)
(langchain.vectorstores.Pinecone method)
(langchain.vectorstores.Qdrant method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-59
|
(langchain.vectorstores.Pinecone method)
(langchain.vectorstores.Qdrant method)
similarity_search_with_score_by_index() (langchain.vectorstores.Annoy method)
similarity_search_with_score_by_vector() (langchain.vectorstores.AnalyticDB method)
(langchain.vectorstores.Annoy method)
(langchain.vectorstores.FAISS method)
(langchain.vectorstores.Milvus method)
similarity_threshold (langchain.document_transformers.EmbeddingsRedundantFilter attribute)
(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)
SitemapLoader (class in langchain.document_loaders)
siterestrict (langchain.utilities.GoogleSearchAPIWrapper attribute)
SlackDirectoryLoader (class in langchain.document_loaders)
SpacyTextSplitter (class in langchain.text_splitter)
sparse_encoder (langchain.retrievers.PineconeHybridSearchRetriever attribute)
spec (langchain.agents.agent_toolkits.JsonToolkit attribute)
split_documents() (langchain.text_splitter.TextSplitter method)
split_text() (langchain.text_splitter.CharacterTextSplitter method)
(langchain.text_splitter.NLTKTextSplitter method)
(langchain.text_splitter.RecursiveCharacterTextSplitter method)
(langchain.text_splitter.SpacyTextSplitter method)
(langchain.text_splitter.TextSplitter method)
(langchain.text_splitter.TokenTextSplitter method)
sql_chain (langchain.chains.SQLDatabaseSequentialChain attribute)
SRTLoader (class in langchain.document_loaders)
status (langchain.experimental.GenerativeAgent attribute)
stop (langchain.agents.LLMSingleActionAgent attribute)
(langchain.chains.PALChain attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
(langchain.llms.Writer attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-60
|
(langchain.llms.LlamaCpp attribute)
(langchain.llms.Writer attribute)
stop_sequences (langchain.llms.AlephAlpha attribute)
store (langchain.memory.InMemoryEntityStore attribute)
strategy (langchain.llms.RWKV attribute)
stream() (langchain.llms.Anthropic method)
(langchain.llms.AzureOpenAI method)
(langchain.llms.LlamaCpp method)
(langchain.llms.OpenAI method)
(langchain.llms.PromptLayerOpenAI method)
streaming (langchain.chat_models.ChatOpenAI attribute)
(langchain.llms.Anthropic attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
(langchain.llms.OpenAIChat attribute)
(langchain.llms.PromptLayerOpenAIChat attribute)
strip_outputs (langchain.chains.SimpleSequentialChain attribute)
suffix (langchain.llms.LlamaCpp attribute)
(langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
summarize_related_memories() (langchain.experimental.GenerativeAgent method)
summary (langchain.experimental.GenerativeAgent attribute)
summary_message_cls (langchain.memory.ConversationKGMemory attribute)
summary_refresh_seconds (langchain.experimental.GenerativeAgent attribute)
SupabaseVectorStore (class in langchain.vectorstores)
T
table (langchain.vectorstores.MyScaleSettings attribute)
table_info (langchain.utilities.PowerBIDataset property)
table_name (langchain.vectorstores.SupabaseVectorStore attribute)
table_names (langchain.utilities.PowerBIDataset attribute)
tags (langchain.tools.OpenAPISpec attribute)
task (langchain.embeddings.HuggingFaceHubEmbeddings attribute)
(langchain.llms.HuggingFaceEndpoint attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-61
|
(langchain.llms.HuggingFaceEndpoint attribute)
(langchain.llms.HuggingFaceHub attribute)
(langchain.llms.SelfHostedHuggingFaceLLM attribute)
TelegramChatLoader (class in langchain.document_loaders)
temp (langchain.llms.GPT4All attribute)
temperature (langchain.chat_models.ChatOpenAI attribute)
(langchain.llms.AI21 attribute)
(langchain.llms.AlephAlpha attribute)
(langchain.llms.Anthropic attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.Cohere attribute)
(langchain.llms.ForefrontAI attribute)
(langchain.llms.GooseAI attribute)
(langchain.llms.LlamaCpp attribute)
(langchain.llms.NLPCloud attribute)
(langchain.llms.Petals attribute)
(langchain.llms.PredictionGuard attribute)
(langchain.llms.RWKV attribute)
(langchain.llms.Writer attribute)
template (langchain.prompts.PromptTemplate attribute)
template_format (langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
(langchain.prompts.PromptTemplate attribute)
text_length (langchain.chains.LLMRequestsChain attribute)
text_splitter (langchain.chains.AnalyzeDocumentChain attribute)
(langchain.chains.MapReduceChain attribute)
(langchain.chains.QAGenerationChain attribute)
TextLoader (class in langchain.document_loaders)
texts (langchain.retrievers.SVMRetriever attribute)
TextSplitter (class in langchain.text_splitter)
tfidf_array (langchain.retrievers.TFIDFRetriever attribute)
to_typescript() (langchain.tools.APIOperation method)
token (langchain.utilities.PowerBIDataset attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-62
|
token (langchain.utilities.PowerBIDataset attribute)
token_path (langchain.document_loaders.GoogleApiClient attribute)
(langchain.document_loaders.GoogleDriveLoader attribute)
tokenizer (langchain.llms.Petals attribute)
tokens (langchain.llms.AlephAlpha attribute)
tokens_path (langchain.llms.RWKV attribute)
tokens_to_generate (langchain.llms.Writer attribute)
TokenTextSplitter (class in langchain.text_splitter)
tool() (in module langchain.agents)
tool_run_logging_kwargs() (langchain.agents.Agent method)
(langchain.agents.BaseMultiActionAgent method)
(langchain.agents.BaseSingleActionAgent method)
(langchain.agents.LLMSingleActionAgent method)
tools (langchain.agents.agent_toolkits.JiraToolkit attribute)
(langchain.agents.agent_toolkits.ZapierToolkit attribute)
(langchain.agents.AgentExecutor attribute)
(langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
top_k (langchain.chains.SQLDatabaseChain attribute)
(langchain.llms.AlephAlpha attribute)
(langchain.llms.Anthropic attribute)
(langchain.llms.ForefrontAI attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
(langchain.llms.NLPCloud attribute)
(langchain.llms.Petals attribute)
(langchain.llms.Writer attribute)
(langchain.retrievers.ChatGPTPluginRetriever attribute)
(langchain.retrievers.DataberryRetriever attribute)
(langchain.retrievers.PineconeHybridSearchRetriever attribute)
top_k_docs_for_context (langchain.chains.ChatVectorDBChain attribute)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-63
|
top_k_docs_for_context (langchain.chains.ChatVectorDBChain attribute)
top_k_results (langchain.utilities.ArxivAPIWrapper attribute)
(langchain.utilities.GooglePlacesAPIWrapper attribute)
(langchain.utilities.WikipediaAPIWrapper attribute)
top_p (langchain.llms.AlephAlpha attribute)
(langchain.llms.Anthropic attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.ForefrontAI attribute)
(langchain.llms.GooseAI attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
(langchain.llms.NLPCloud attribute)
(langchain.llms.Petals attribute)
(langchain.llms.RWKV attribute)
(langchain.llms.Writer attribute)
topP (langchain.llms.AI21 attribute)
traits (langchain.experimental.GenerativeAgent attribute)
transform (langchain.chains.TransformChain attribute)
transform_documents() (langchain.document_transformers.EmbeddingsRedundantFilter method)
(langchain.text_splitter.TextSplitter method)
transformers (langchain.retrievers.document_compressors.DocumentCompressorPipeline attribute)
truncate (langchain.embeddings.CohereEmbeddings attribute)
(langchain.llms.Cohere attribute)
ts_type_from_python() (langchain.tools.APIOperation static method)
ttl (langchain.memory.RedisEntityStore attribute)
TwitterTweetLoader (class in langchain.document_loaders)
U
unsecure (langchain.utilities.searx_search.SearxSearchWrapper attribute)
(langchain.utilities.SearxSearchWrapper attribute)
UnstructuredEmailLoader (class in langchain.document_loaders)
UnstructuredEPubLoader (class in langchain.document_loaders)
UnstructuredFileIOLoader (class in langchain.document_loaders)
UnstructuredFileLoader (class in langchain.document_loaders)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-64
|
UnstructuredFileLoader (class in langchain.document_loaders)
UnstructuredHTMLLoader (class in langchain.document_loaders)
UnstructuredImageLoader (class in langchain.document_loaders)
UnstructuredMarkdownLoader (class in langchain.document_loaders)
UnstructuredPDFLoader (class in langchain.document_loaders)
UnstructuredPowerPointLoader (class in langchain.document_loaders)
UnstructuredRTFLoader (class in langchain.document_loaders)
UnstructuredURLLoader (class in langchain.document_loaders)
UnstructuredWordDocumentLoader (class in langchain.document_loaders)
update_document() (langchain.vectorstores.Chroma method)
update_forward_refs() (langchain.llms.AI21 class method)
(langchain.llms.AlephAlpha class method)
(langchain.llms.Anthropic class method)
(langchain.llms.AzureOpenAI class method)
(langchain.llms.Banana class method)
(langchain.llms.CerebriumAI class method)
(langchain.llms.Cohere class method)
(langchain.llms.DeepInfra class method)
(langchain.llms.ForefrontAI class method)
(langchain.llms.GooseAI class method)
(langchain.llms.GPT4All class method)
(langchain.llms.HuggingFaceEndpoint class method)
(langchain.llms.HuggingFaceHub class method)
(langchain.llms.HuggingFacePipeline class method)
(langchain.llms.LlamaCpp class method)
(langchain.llms.Modal class method)
(langchain.llms.NLPCloud class method)
(langchain.llms.OpenAI class method)
(langchain.llms.OpenAIChat class method)
(langchain.llms.Petals class method)
(langchain.llms.PredictionGuard class method)
(langchain.llms.PromptLayerOpenAI class method)
|
rtdocs\python.langchain.com\langchain.readthedocs.io\en\latest\genindex.html
|
5be2eb9f9e91-65
|
(langchain.llms.PromptLayerOpenAI class method)
(langchain.llms.PromptLayerOpenAIChat class method)
(langchain.llms.Replicate class method)
(langchain.llms.RWKV class method)
(langchain.llms.SagemakerEndpoint class method)
(langchain.llms.SelfHostedHuggingFaceLLM class method)
(langchain.llms.SelfHostedPipeline class method)
(langchain.llms.StochasticAI class method)
(langchain.llms.Writer class method)
upsert_messages() (langchain.memory.CosmosDBChatMessageHistory method)
url (langchain.retrievers.ChatGPTPluginRetriever attribute)
(langchain.retrievers.RemoteLangChainRetriever attribute)
(langchain.tools.IFTTTWebhook attribute)
urls (langchain.document_loaders.PlaywrightURLLoader attribute)
(langchain.document_loaders.SeleniumURLLoader attribute)
use_mlock (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
use_mmap (langchain.llms.LlamaCpp attribute)
use_multiplicative_presence_penalty (langchain.llms.AlephAlpha attribute)
username (langchain.vectorstores.MyScaleSettings attribute)
V
validate_channel_or_videoIds_is_set() (langchain.document_loaders.GoogleApiClient class method)
(langchain.document_loaders.GoogleApiYoutubeLoader class method)
validate_init_args() (langchain.document_loaders.ConfluenceLoader static method)
validate_template (langchain.prompts.FewShotPromptTemplate attribute)
(langchain.prompts.FewShotPromptWithTemplates attribute)
(langchain.prompts.PromptTemplate attribute)
vectorizer (langchain.retrievers.TFIDFRetriever attribute)
VectorStore (class in langchain.vectorstores)
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VectorStore (class in langchain.vectorstores)
vectorstore (langchain.agents.agent_toolkits.VectorStoreInfo attribute)
(langchain.chains.ChatVectorDBChain attribute)
(langchain.chains.VectorDBQA attribute)
(langchain.chains.VectorDBQAWithSourcesChain attribute)
(langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)
(langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)
vectorstore_info (langchain.agents.agent_toolkits.VectorStoreToolkit attribute)
vectorstores (langchain.agents.agent_toolkits.VectorStoreRouterToolkit attribute)
verbose (langchain.agents.MRKLChain attribute)
(langchain.agents.ReActChain attribute)
(langchain.agents.SelfAskWithSearchChain attribute)
(langchain.chat_models.ChatAnthropic attribute)
(langchain.llms.AzureOpenAI attribute)
(langchain.llms.OpenAI attribute)
(langchain.llms.OpenAIChat attribute)
(langchain.tools.BaseTool attribute)
video_ids (langchain.document_loaders.GoogleApiYoutubeLoader attribute)
vocab_only (langchain.embeddings.LlamaCppEmbeddings attribute)
(langchain.llms.GPT4All attribute)
(langchain.llms.LlamaCpp attribute)
W
Weaviate (class in langchain.vectorstores)
WeaviateHybridSearchRetriever (class in langchain.retrievers)
WeaviateHybridSearchRetriever.Config (class in langchain.retrievers)
web_path (langchain.document_loaders.WebBaseLoader property)
web_paths (langchain.document_loaders.AZLyricsLoader attribute)
(langchain.document_loaders.CollegeConfidentialLoader attribute)
(langchain.document_loaders.GitbookLoader attribute)
(langchain.document_loaders.HNLoader attribute)
(langchain.document_loaders.IMSDbLoader attribute)
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(langchain.document_loaders.IMSDbLoader attribute)
(langchain.document_loaders.SitemapLoader attribute)
(langchain.document_loaders.WebBaseLoader attribute)
WebBaseLoader (class in langchain.document_loaders)
webhooks (langchain.tools.OpenAPISpec attribute)
WhatsAppChatLoader (class in langchain.document_loaders)
Wikipedia (class in langchain.docstore)
wolfram_alpha_appid (langchain.utilities.WolframAlphaAPIWrapper attribute)
Y
YoutubeLoader (class in langchain.document_loaders)
Z
ZERO_SHOT_REACT_DESCRIPTION (langchain.agents.AgentType attribute)
Zilliz (class in langchain.vectorstores)
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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Glossary
Contents
Chain of Thought Prompting
Action Plan Generation
ReAct Prompting
Self-ask
Prompt Chaining
Memetic Proxy
Self Consistency
Inception
MemPrompt
Glossary#
This is a collection of terminology commonly used when developing LLM applications.
It contains reference to external papers or sources where the concept was first introduced,
as well as to places in LangChain where the concept is used.
Chain of Thought Prompting#
A prompting technique used to encourage the model to generate a series of intermediate reasoning steps.
A less formal way to induce this behavior is to include “Let’s think step-by-step” in the prompt.
Resources:
Chain-of-Thought Paper
Step-by-Step Paper
Action Plan Generation#
A prompt usage that uses a language model to generate actions to take.
The results of these actions can then be fed back into the language model to generate a subsequent action.
Resources:
WebGPT Paper
SayCan Paper
ReAct Prompting#
A prompting technique that combines Chain-of-Thought prompting with action plan generation.
This induces the to model to think about what action to take, then take it.
Resources:
Paper
LangChain Example
Self-ask#
A prompting method that builds on top of chain-of-thought prompting.
In this method, the model explicitly asks itself follow-up questions, which are then answered by an external search engine.
Resources:
Paper
LangChain Example
Prompt Chaining#
Combining multiple LLM calls together, with the output of one-step being the input to the next.
Resources:
PromptChainer Paper
Language Model Cascades
ICE Primer Book
Socratic Models
Memetic Proxy#
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Language Model Cascades
ICE Primer Book
Socratic Models
Memetic Proxy#
Encouraging the LLM to respond in a certain way framing the discussion in a context that the model knows of and that will result in that type of response. For example, as a conversation between a student and a teacher.
Resources:
Paper
Self Consistency#
A decoding strategy that samples a diverse set of reasoning paths and then selects the most consistent answer.
Is most effective when combined with Chain-of-thought prompting.
Resources:
Paper
Inception#
Also called “First Person Instruction”.
Encouraging the model to think a certain way by including the start of the model’s response in the prompt.
Resources:
Example
MemPrompt#
MemPrompt maintains a memory of errors and user feedback, and uses them to prevent repetition of mistakes.
Resources:
Paper
previous
Zilliz
next
LangChain Gallery
Contents
Chain of Thought Prompting
Action Plan Generation
ReAct Prompting
Self-ask
Prompt Chaining
Memetic Proxy
Self Consistency
Inception
MemPrompt
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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Welcome to LangChain
Contents
Getting Started
Modules
Use Cases
Reference Docs
LangChain Ecosystem
Additional Resources
Welcome to LangChain#
LangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model via an API, but will also:
Be data-aware: connect a language model to other sources of data
Be agentic: allow a language model to interact with its environment
The LangChain framework is designed with the above principles in mind.
This is the Python specific portion of the documentation. For a purely conceptual guide to LangChain, see here. For the JavaScript documentation, see here.
Getting Started#
Checkout the below guide for a walkthrough of how to get started using LangChain to create an Language Model application.
Getting Started Documentation
Modules#
There are several main modules that LangChain provides support for.
For each module we provide some examples to get started, how-to guides, reference docs, and conceptual guides.
These modules are, in increasing order of complexity:
Models: The various model types and model integrations LangChain supports.
Prompts: This includes prompt management, prompt optimization, and prompt serialization.
Memory: Memory is the concept of persisting state between calls of a chain/agent. LangChain provides a standard interface for memory, a collection of memory implementations, and examples of chains/agents that use memory.
Indexes: Language models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.
Chains: Chains go beyond just a single LLM call, and are sequences of calls (whether to an LLM or a different utility). LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications.
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Agents: Agents involve an LLM making decisions about which Actions to take, taking that Action, seeing an Observation, and repeating that until done. LangChain provides a standard interface for agents, a selection of agents to choose from, and examples of end to end agents.
Use Cases#
The above modules can be used in a variety of ways. LangChain also provides guidance and assistance in this. Below are some of the common use cases LangChain supports.
Autonomous Agents: Autonomous agents are long running agents that take many steps in an attempt to accomplish an objective. Examples include AutoGPT and BabyAGI.
Agent Simulations: Putting agents in a sandbox and observing how they interact with each other or to events can be an interesting way to observe their long-term memory abilities.
Personal Assistants: The main LangChain use case. Personal assistants need to take actions, remember interactions, and have knowledge about your data.
Question Answering: The second big LangChain use case. Answering questions over specific documents, only utilizing the information in those documents to construct an answer.
Chatbots: Since language models are good at producing text, that makes them ideal for creating chatbots.
Querying Tabular Data: If you want to understand how to use LLMs to query data that is stored in a tabular format (csvs, SQL, dataframes, etc) you should read this page.
Code Understanding: If you want to understand how to use LLMs to query source code from github, you should read this page.
Interacting with APIs: Enabling LLMs to interact with APIs is extremely powerful in order to give them more up-to-date information and allow them to take actions.
Extraction: Extract structured information from text.
Summarization: Summarizing longer documents into shorter, more condensed chunks of information. A type of Data Augmented Generation.
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Evaluation: Generative models are notoriously hard to evaluate with traditional metrics. One new way of evaluating them is using language models themselves to do the evaluation. LangChain provides some prompts/chains for assisting in this.
Reference Docs#
All of LangChain’s reference documentation, in one place. Full documentation on all methods, classes, installation methods, and integration setups for LangChain.
Reference Documentation
LangChain Ecosystem#
Guides for how other companies/products can be used with LangChain
LangChain Ecosystem
Additional Resources#
Additional collection of resources we think may be useful as you develop your application!
LangChainHub: The LangChainHub is a place to share and explore other prompts, chains, and agents.
Glossary: A glossary of all related terms, papers, methods, etc. Whether implemented in LangChain or not!
Gallery: A collection of our favorite projects that use LangChain. Useful for finding inspiration or seeing how things were done in other applications.
Deployments: A collection of instructions, code snippets, and template repositories for deploying LangChain apps.
Tracing: A guide on using tracing in LangChain to visualize the execution of chains and agents.
Model Laboratory: Experimenting with different prompts, models, and chains is a big part of developing the best possible application. The ModelLaboratory makes it easy to do so.
Discord: Join us on our Discord to discuss all things LangChain!
YouTube: A collection of the LangChain tutorials and videos.
Production Support: As you move your LangChains into production, we’d love to offer more comprehensive support. Please fill out this form and we’ll set up a dedicated support Slack channel.
next
Quickstart Guide
Contents
Getting Started
Modules
Use Cases
Reference Docs
LangChain Ecosystem
Additional Resources
By Harrison Chase
© Copyright 2023, Harrison Chase.
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By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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Model Comparison
Model Comparison#
Constructing your language model application will likely involved choosing between many different options of prompts, models, and even chains to use. When doing so, you will want to compare these different options on different inputs in an easy, flexible, and intuitive way.
LangChain provides the concept of a ModelLaboratory to test out and try different models.
from langchain import LLMChain, OpenAI, Cohere, HuggingFaceHub, PromptTemplate
from langchain.model_laboratory import ModelLaboratory
llms = [
OpenAI(temperature=0),
Cohere(model="command-xlarge-20221108", max_tokens=20, temperature=0),
HuggingFaceHub(repo_id="google/flan-t5-xl", model_kwargs={"temperature":1})
]
model_lab = ModelLaboratory.from_llms(llms)
model_lab.compare("What color is a flamingo?")
Input:
What color is a flamingo?
OpenAI
Params: {'model': 'text-davinci-002', 'temperature': 0.0, 'max_tokens': 256, 'top_p': 1, 'frequency_penalty': 0, 'presence_penalty': 0, 'n': 1, 'best_of': 1}
Flamingos are pink.
Cohere
Params: {'model': 'command-xlarge-20221108', 'max_tokens': 20, 'temperature': 0.0, 'k': 0, 'p': 1, 'frequency_penalty': 0, 'presence_penalty': 0}
Pink
HuggingFaceHub
Params: {'repo_id': 'google/flan-t5-xl', 'temperature': 1}
pink
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prompt = PromptTemplate(template="What is the capital of {state}?", input_variables=["state"])
model_lab_with_prompt = ModelLaboratory.from_llms(llms, prompt=prompt)
model_lab_with_prompt.compare("New York")
Input:
New York
OpenAI
Params: {'model': 'text-davinci-002', 'temperature': 0.0, 'max_tokens': 256, 'top_p': 1, 'frequency_penalty': 0, 'presence_penalty': 0, 'n': 1, 'best_of': 1}
The capital of New York is Albany.
Cohere
Params: {'model': 'command-xlarge-20221108', 'max_tokens': 20, 'temperature': 0.0, 'k': 0, 'p': 1, 'frequency_penalty': 0, 'presence_penalty': 0}
The capital of New York is Albany.
HuggingFaceHub
Params: {'repo_id': 'google/flan-t5-xl', 'temperature': 1}
st john s
from langchain import SelfAskWithSearchChain, SerpAPIWrapper
open_ai_llm = OpenAI(temperature=0)
search = SerpAPIWrapper()
self_ask_with_search_openai = SelfAskWithSearchChain(llm=open_ai_llm, search_chain=search, verbose=True)
cohere_llm = Cohere(temperature=0, model="command-xlarge-20221108")
search = SerpAPIWrapper()
self_ask_with_search_cohere = SelfAskWithSearchChain(llm=cohere_llm, search_chain=search, verbose=True)
chains = [self_ask_with_search_openai, self_ask_with_search_cohere]
names = [str(open_ai_llm), str(cohere_llm)]
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names = [str(open_ai_llm), str(cohere_llm)]
model_lab = ModelLaboratory(chains, names=names)
model_lab.compare("What is the hometown of the reigning men's U.S. Open champion?")
Input:
What is the hometown of the reigning men's U.S. Open champion?
OpenAI
Params: {'model': 'text-davinci-002', 'temperature': 0.0, 'max_tokens': 256, 'top_p': 1, 'frequency_penalty': 0, 'presence_penalty': 0, 'n': 1, 'best_of': 1}
> Entering new chain...
What is the hometown of the reigning men's U.S. Open champion?
Are follow up questions needed here: Yes.
Follow up: Who is the reigning men's U.S. Open champion?
Intermediate answer: Carlos Alcaraz.
Follow up: Where is Carlos Alcaraz from?
Intermediate answer: El Palmar, Spain.
So the final answer is: El Palmar, Spain
> Finished chain.
So the final answer is: El Palmar, Spain
Cohere
Params: {'model': 'command-xlarge-20221108', 'max_tokens': 256, 'temperature': 0.0, 'k': 0, 'p': 1, 'frequency_penalty': 0, 'presence_penalty': 0}
> Entering new chain...
What is the hometown of the reigning men's U.S. Open champion?
Are follow up questions needed here: Yes.
Follow up: Who is the reigning men's U.S. Open champion?
Intermediate answer: Carlos Alcaraz.
So the final answer is:
Carlos Alcaraz
> Finished chain.
So the final answer is:
Carlos Alcaraz
By Harrison Chase
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So the final answer is:
Carlos Alcaraz
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.pdf
API References
API References#
All of LangChain’s reference documentation, in one place.
Full documentation on all methods, classes, and APIs in LangChain.
Models
Prompts
Indexes
Memory
Chains
Agents
Utilities
Experimental Modules
previous
Integrations
next
Models
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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Search
Error
Please activate JavaScript to enable the search functionality.
Ctrl+K
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.pdf
Tracing
Contents
Tracing Walkthrough
Changing Sessions
Tracing#
By enabling tracing in your LangChain runs, you’ll be able to more effectively visualize, step through, and debug your chains and agents.
First, you should install tracing and set up your environment properly.
You can use either a locally hosted version of this (uses Docker) or a cloud hosted version (in closed alpha).
If you’re interested in using the hosted platform, please fill out the form here.
Locally Hosted Setup
Cloud Hosted Setup
Tracing Walkthrough#
When you first access the UI, you should see a page with your tracing sessions.
An initial one “default” should already be created for you.
A session is just a way to group traces together.
If you click on a session, it will take you to a page with no recorded traces that says “No Runs.”
You can create a new session with the new session form.
If we click on the default session, we can see that to start we have no traces stored.
If we now start running chains and agents with tracing enabled, we will see data show up here.
To do so, we can run this notebook as an example.
After running it, we will see an initial trace show up.
From here we can explore the trace at a high level by clicking on the arrow to show nested runs.
We can keep on clicking further and further down to explore deeper and deeper.
We can also click on the “Explore” button of the top level run to dive even deeper.
Here, we can see the inputs and outputs in full, as well as all the nested traces.
We can keep on exploring each of these nested traces in more detail.
For example, here is the lowest level trace with the exact inputs/outputs to the LLM.
Changing Sessions#
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Changing Sessions#
To initially record traces to a session other than "default", you can set the LANGCHAIN_SESSION environment variable to the name of the session you want to record to:
import os
os.environ["LANGCHAIN_HANDLER"] = "langchain"
os.environ["LANGCHAIN_SESSION"] = "my_session" # Make sure this session actually exists. You can create a new session in the UI.
To switch sessions mid-script or mid-notebook, do NOT set the LANGCHAIN_SESSION environment variable. Instead: langchain.set_tracing_callback_manager(session_name="my_session")
previous
Deployments
next
YouTube
Contents
Tracing Walkthrough
Changing Sessions
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.pdf
YouTube
Contents
Introduction to LangChain with Harrison Chase, creator of LangChain
Tutorials
Videos (sorted by views)
YouTube#
This is a collection of LangChain tutorials and videos on YouTube.
Introduction to LangChain with Harrison Chase, creator of LangChain#
Building the Future with LLMs, LangChain, & Pinecone by Pinecone
LangChain and Weaviate with Harrison Chase and Bob van Luijt - Weaviate Podcast #36 by Weaviate • Vector Database
LangChain Demo + Q&A with Harrison Chase by Full Stack Deep Learning
Tutorials#
LangChain Crash Course - Build apps with language models by Patrick Loeber
LangChain for Gen AI and LLMs by James Briggs:
#1 Getting Started with GPT-3 vs. Open Source LLMs
#2 Prompt Templates for GPT 3.5 and other LLMs
#3 LLM Chains using GPT 3.5 and other LLMs
#4 Chatbot Memory for Chat-GPT, Davinci + other LLMs
#5 Chat with OpenAI in LangChain
#6 LangChain Agents Deep Dive with GPT 3.5
Prompt Engineering with OpenAI’s GPT-3 and other LLMs
LangChain 101 by Data Independent:
What Is LangChain? - LangChain + ChatGPT Overview
Quickstart Guide
Beginner Guide To 7 Essential Concepts
OpenAI + Wolfram Alpha
Ask Questions On Your Custom (or Private) Files
Connect Google Drive Files To OpenAI
YouTube Transcripts + OpenAI
Question A 300 Page Book (w/ OpenAI + Pinecone)
Workaround OpenAI's Token Limit With Chain Types
Build Your Own OpenAI + LangChain Web App in 23 Minutes
Working With The New ChatGPT API
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Working With The New ChatGPT API
OpenAI + LangChain Wrote Me 100 Custom Sales Emails
Structured Output From OpenAI (Clean Dirty Data)
Connect OpenAI To +5,000 Tools (LangChain + Zapier)
Use LLMs To Extract Data From Text (Expert Mode)
LangChain How to and guides by Sam Witteveen:
LangChain Basics - LLMs & PromptTemplates with Colab
LangChain Basics - Tools and Chains
ChatGPT API Announcement & Code Walkthrough with LangChain
Conversations with Memory (explanation & code walkthrough)
Chat with Flan20B
Using Hugging Face Models locally (code walkthrough)
PAL : Program-aided Language Models with LangChain code
Building a Summarization System with LangChain and GPT-3 - Part 1
Building a Summarization System with LangChain and GPT-3 - Part 2
Microsoft’s Visual ChatGPT using LangChain
LangChain Agents - Joining Tools and Chains with Decisions
Comparing LLMs with LangChain
Using Constitutional AI in LangChain
Talking to Alpaca with LangChain - Creating an Alpaca Chatbot
Talk to your CSV & Excel with LangChain
BabyAGI: Discover the Power of Task-Driven Autonomous Agents!
Improve your BabyAGI with LangChain
LangChain by Prompt Engineering:
LangChain Crash Course - All You Need to Know to Build Powerful Apps with LLMs
Working with MULTIPLE PDF Files in LangChain: ChatGPT for your Data
ChatGPT for YOUR OWN PDF files with LangChain
Talk to YOUR DATA without OpenAI APIs: LangChain
LangChain by Chat with data
LangChain Beginner’s Tutorial for Typescript/Javascript
GPT-4 Tutorial: How to Chat With Multiple PDF Files (~1000 pages of Tesla’s 10-K Annual Reports)
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GPT-4 & LangChain Tutorial: How to Chat With A 56-Page PDF Document (w/Pinecone)
Videos (sorted by views)#
Building AI LLM Apps with LangChain (and more?) - LIVE STREAM by Nicholas Renotte
First look - ChatGPT + WolframAlpha (GPT-3.5 and Wolfram|Alpha via LangChain by James Weaver) by Dr Alan D. Thompson
LangChain explained - The hottest new Python framework by AssemblyAI
Chatbot with INFINITE MEMORY using OpenAI & Pinecone - GPT-3, Embeddings, ADA, Vector DB, Semantic by David Shapiro ~ AI
LangChain for LLMs is… basically just an Ansible playbook by David Shapiro ~ AI
Build your own LLM Apps with LangChain & GPT-Index by 1littlecoder
BabyAGI - New System of Autonomous AI Agents with LangChain by 1littlecoder
Run BabyAGI with Langchain Agents (with Python Code) by 1littlecoder
How to Use Langchain With Zapier | Write and Send Email with GPT-3 | OpenAI API Tutorial by StarMorph AI
Use Your Locally Stored Files To Get Response From GPT - OpenAI | Langchain | Python by Shweta Lodha
Langchain JS | How to Use GPT-3, GPT-4 to Reference your own Data | OpenAI Embeddings Intro by StarMorph AI
The easiest way to work with large language models | Learn LangChain in 10min by Sophia Yang
4 Autonomous AI Agents: “Westworld” simulation BabyAGI, AutoGPT, Camel, LangChain by Sophia Yang
AI CAN SEARCH THE INTERNET? Langchain Agents + OpenAI ChatGPT by tylerwhatsgood
Weaviate + LangChain for LLM apps presented by Erika Cardenas by Weaviate • Vector Database
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Analyze Custom CSV Data with GPT-4 using Langchain by Venelin Valkov
Langchain Overview - How to Use Langchain & ChatGPT by Python In Office
Custom langchain Agent & Tools with memory. Turn any Python function into langchain tool with Gpt 3 by echohive
ChatGPT with any YouTube video using langchain and chromadb by echohive
How to Talk to a PDF using LangChain and ChatGPT by Automata Learning Lab
Langchain Document Loaders Part 1: Unstructured Files by Merk
LangChain - Prompt Templates (what all the best prompt engineers use) by Nick Daigler
LangChain. Crear aplicaciones Python impulsadas por GPT by Jesús Conde
Easiest Way to Use GPT In Your Products | LangChain Basics Tutorial by Rachel Woods
BabyAGI + GPT-4 Langchain Agent with Internet Access by tylerwhatsgood
Learning LLM Agents. How does it actually work? LangChain, AutoGPT & OpenAI by Arnoldas Kemeklis
Get Started with LangChain in Node.js by Developers Digest
LangChain + OpenAI tutorial: Building a Q&A system w/ own text data by Samuel Chan
Langchain + Zapier Agent by Merk
Connecting the Internet with ChatGPT (LLMs) using Langchain And Answers Your Questions by Kamalraj M M
Build More Powerful LLM Applications for Business’s with LangChain (Beginners Guide) by No Code Blackbox
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Tracing
Contents
Introduction to LangChain with Harrison Chase, creator of LangChain
Tutorials
Videos (sorted by views)
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.pdf
AI21 Labs
Contents
Installation and Setup
Wrappers
LLM
AI21 Labs#
This page covers how to use the AI21 ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific AI21 wrappers.
Installation and Setup#
Get an AI21 api key and set it as an environment variable (AI21_API_KEY)
Wrappers#
LLM#
There exists an AI21 LLM wrapper, which you can access with
from langchain.llms import AI21
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LangChain Ecosystem
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Aim
Contents
Installation and Setup
Wrappers
LLM
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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Aim
Aim#
Aim makes it super easy to visualize and debug LangChain executions. Aim tracks inputs and outputs of LLMs and tools, as well as actions of agents.
With Aim, you can easily debug and examine an individual execution:
Additionally, you have the option to compare multiple executions side by side:
Aim is fully open source, learn more about Aim on GitHub.
Let’s move forward and see how to enable and configure Aim callback.
Tracking LangChain Executions with AimIn this notebook we will explore three usage scenarios. To start off, we will install the necessary packages and import certain modules. Subsequently, we will configure two environment variables that can be established either within the Python script or through the terminal.
!pip install aim
!pip install langchain
!pip install openai
!pip install google-search-results
import os
from datetime import datetime
from langchain.llms import OpenAI
from langchain.callbacks.base import CallbackManager
from langchain.callbacks import AimCallbackHandler, StdOutCallbackHandler
Our examples use a GPT model as the LLM, and OpenAI offers an API for this purpose. You can obtain the key from the following link: https://platform.openai.com/account/api-keys .
We will use the SerpApi to retrieve search results from Google. To acquire the SerpApi key, please go to https://serpapi.com/manage-api-key .
os.environ["OPENAI_API_KEY"] = "..."
os.environ["SERPAPI_API_KEY"] = "..."
The event methods of AimCallbackHandler accept the LangChain module or agent as input and log at least the prompts and generated results, as well as the serialized version of the LangChain module, to the designated Aim run.
session_group = datetime.now().strftime("%m.%d.%Y_%H.%M.%S")
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aim_callback = AimCallbackHandler(
repo=".",
experiment_name="scenario 1: OpenAI LLM",
)
manager = CallbackManager([StdOutCallbackHandler(), aim_callback])
llm = OpenAI(temperature=0, callback_manager=manager, verbose=True)
The flush_tracker function is used to record LangChain assets on Aim. By default, the session is reset rather than being terminated outright.
Scenario 1 In the first scenario, we will use OpenAI LLM.
# scenario 1 - LLM
llm_result = llm.generate(["Tell me a joke", "Tell me a poem"] * 3)
aim_callback.flush_tracker(
langchain_asset=llm,
experiment_name="scenario 2: Chain with multiple SubChains on multiple generations",
)
Scenario 2 Scenario two involves chaining with multiple SubChains across multiple generations.
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
# scenario 2 - Chain
template = """You are a playwright. Given the title of play, it is your job to write a synopsis for that title.
Title: {title}
Playwright: This is a synopsis for the above play:"""
prompt_template = PromptTemplate(input_variables=["title"], template=template)
synopsis_chain = LLMChain(llm=llm, prompt=prompt_template, callback_manager=manager)
test_prompts = [
{"title": "documentary about good video games that push the boundary of game design"},
{"title": "the phenomenon behind the remarkable speed of cheetahs"},
{"title": "the best in class mlops tooling"},
]
synopsis_chain.apply(test_prompts)
aim_callback.flush_tracker(
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]
synopsis_chain.apply(test_prompts)
aim_callback.flush_tracker(
langchain_asset=synopsis_chain, experiment_name="scenario 3: Agent with Tools"
)
Scenario 3 The third scenario involves an agent with tools.
from langchain.agents import initialize_agent, load_tools
from langchain.agents import AgentType
# scenario 3 - Agent with Tools
tools = load_tools(["serpapi", "llm-math"], llm=llm, callback_manager=manager)
agent = initialize_agent(
tools,
llm,
agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
callback_manager=manager,
verbose=True,
)
agent.run(
"Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?"
)
aim_callback.flush_tracker(langchain_asset=agent, reset=False, finish=True)
> Entering new AgentExecutor chain...
I need to find out who Leo DiCaprio's girlfriend is and then calculate her age raised to the 0.43 power.
Action: Search
Action Input: "Leo DiCaprio girlfriend"
Observation: Leonardo DiCaprio seemed to prove a long-held theory about his love life right after splitting from girlfriend Camila Morrone just months ...
Thought: I need to find out Camila Morrone's age
Action: Search
Action Input: "Camila Morrone age"
Observation: 25 years
Thought: I need to calculate 25 raised to the 0.43 power
Action: Calculator
Action Input: 25^0.43
Observation: Answer: 3.991298452658078
Thought: I now know the final answer
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Thought: I now know the final answer
Final Answer: Camila Morrone is Leo DiCaprio's girlfriend and her current age raised to the 0.43 power is 3.991298452658078.
> Finished chain.
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AI21 Labs
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AnalyticDB
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.md
.pdf
AnalyticDB
Contents
VectorStore
AnalyticDB#
This page covers how to use the AnalyticDB ecosystem within LangChain.
VectorStore#
There exists a wrapper around AnalyticDB, allowing you to use it as a vectorstore,
whether for semantic search or example selection.
To import this vectorstore:
from langchain.vectorstores import AnalyticDB
For a more detailed walkthrough of the AnalyticDB wrapper, see this notebook
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Aim
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Apify
Contents
VectorStore
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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.md
.pdf
Apify
Contents
Overview
Installation and Setup
Wrappers
Utility
Loader
Apify#
This page covers how to use Apify within LangChain.
Overview#
Apify is a cloud platform for web scraping and data extraction,
which provides an ecosystem of more than a thousand
ready-made apps called Actors for various scraping, crawling, and extraction use cases.
This integration enables you run Actors on the Apify platform and load their results into LangChain to feed your vector
indexes with documents and data from the web, e.g. to generate answers from websites with documentation,
blogs, or knowledge bases.
Installation and Setup#
Install the Apify API client for Python with pip install apify-client
Get your Apify API token and either set it as
an environment variable (APIFY_API_TOKEN) or pass it to the ApifyWrapper as apify_api_token in the constructor.
Wrappers#
Utility#
You can use the ApifyWrapper to run Actors on the Apify platform.
from langchain.utilities import ApifyWrapper
For a more detailed walkthrough of this wrapper, see this notebook.
Loader#
You can also use our ApifyDatasetLoader to get data from Apify dataset.
from langchain.document_loaders import ApifyDatasetLoader
For a more detailed walkthrough of this loader, see this notebook.
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AnalyticDB
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AtlasDB
Contents
Overview
Installation and Setup
Wrappers
Utility
Loader
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023.
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