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295 | https://python.langchain.com/docs/integrations/providers/replicate | ProvidersMoreReplicateOn this pageReplicateThis page covers how to run models on Replicate within LangChain.Installation and SetupCreate a Replicate account. Get your API key and set it as an environment variable (REPLICATE_API_TOKEN)Install the Replicate python client with pip install replicateCalling a modelFind a ... |
296 | https://python.langchain.com/docs/integrations/providers/roam | ProvidersMoreRoamOn this pageRoamROAM is a note-taking tool for networked thought, designed to create a personal knowledge base.Installation and SetupThere isn't any special setup for it.Document LoaderSee a usage example.from langchain.document_loaders import RoamLoaderPreviousReplicateNextRocksetInstallation and Se... |
297 | https://python.langchain.com/docs/integrations/providers/rockset | ProvidersMoreRocksetOn this pageRocksetRockset is a real-time analytics database service for serving low latency, high concurrency analytical queries at scale. It builds a Converged Index™ on structured and semi-structured data with an efficient store for vector embeddings. Its support for running SQL on schemaless dat... |
298 | https://python.langchain.com/docs/integrations/providers/runhouse | ProvidersMoreRunhouseOn this pageRunhouseThis page covers how to use the Runhouse ecosystem within LangChain.
It is broken into three parts: installation and setup, LLMs, and Embeddings.Installation and SetupInstall the Python SDK with pip install runhouseIf you'd like to use on-demand cluster, check your cloud creden... |
299 | https://python.langchain.com/docs/integrations/providers/rwkv | ProvidersMoreRWKV-4On this pageRWKV-4This page covers how to use the RWKV-4 wrapper within LangChain.
It is broken into two parts: installation and setup, and then usage with an example.Installation and SetupInstall the Python package with pip install rwkvInstall the tokenizer Python package with pip install tokenizer... |
300 | https://python.langchain.com/docs/integrations/providers/scann | ProvidersGoogleOn this pageGoogleAll functionality related to Google Cloud PlatformLLMsVertex AIAccess PaLM LLMs like text-bison and code-bison via Google Cloud.from langchain.llms import VertexAIModel GardenAccess PaLM and hundreds of OSS models via Vertex AI Model Garden.from langchain.llms import VertexAIModelGar... |
301 | https://python.langchain.com/docs/integrations/providers/searchapi | ProvidersMoreSearchApiOn this pageSearchApiThis page covers how to use the SearchApi Google Search API within LangChain. SearchApi is a real-time SERP API for easy SERP scraping.SetupGo to https://www.searchapi.io/ to sign up for a free accountGet the api key and set it as an environment variable (SEARCHAPI_API_KEY)Wr... |
302 | https://python.langchain.com/docs/integrations/providers/searx | ProvidersMoreSearxNG Search APIOn this pageSearxNG Search APIThis page covers how to use the SearxNG search API within LangChain.
It is broken into two parts: installation and setup, and then references to the specific SearxNG API wrapper.Installation and SetupWhile it is possible to utilize the wrapper in conjunction... |
303 | https://python.langchain.com/docs/integrations/providers/serpapi | ProvidersMoreSerpAPIOn this pageSerpAPIThis page covers how to use the SerpAPI search APIs within LangChain.
It is broken into two parts: installation and setup, and then references to the specific SerpAPI wrapper.Installation and SetupInstall requirements with pip install google-search-resultsGet a SerpAPI api key an... |
304 | https://python.langchain.com/docs/integrations/providers/shaleprotocol | ProvidersMoreShale ProtocolOn this pageShale ProtocolShale Protocol provides production-ready inference APIs for open LLMs. It's a Plug & Play API as it's hosted on a highly scalable GPU cloud infrastructure. Our free tier supports up to 1K daily requests per key as we want to eliminate the barrier for anyone to start ... |
305 | https://python.langchain.com/docs/integrations/providers/singlestoredb | ProvidersMoreSingleStoreDBOn this pageSingleStoreDBSingleStoreDB is a high-performance distributed SQL database that supports deployment both in the cloud and on-premises. It provides vector storage, and vector functions including dot_product and euclidean_distance, thereby supporting AI applications that require text ... |
306 | https://python.langchain.com/docs/integrations/providers/sklearn | ProvidersMorescikit-learnOn this pagescikit-learnscikit-learn is an open source collection of machine learning algorithms,
including some implementations of the k nearest neighbors. SKLearnVectorStore wraps this implementation and adds the possibility to persist the vector store in json, bson (binary json) or Apache Pa... |
307 | https://python.langchain.com/docs/integrations/providers/slack | ProvidersMoreSlackOn this pageSlackSlack is an instant messaging program.Installation and SetupThere isn't any special setup for it.Document LoaderSee a usage example.from langchain.document_loaders import SlackDirectoryLoaderPreviousscikit-learnNextspaCyInstallation and SetupDocument Loader |
308 | https://python.langchain.com/docs/integrations/providers/spacy | ProvidersMorespaCyOn this pagespaCyspaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython.Installation and Setuppip install spacyText SplitterSee a usage example.from langchain.text_splitter import SpacyTextSplitterText Embedding Model... |
309 | https://python.langchain.com/docs/integrations/providers/spreedly | ProvidersMoreSpreedlyOn this pageSpreedlySpreedly is a service that allows you to securely store credit cards and use them to transact against any number of payment gateways and third party APIs. It does this by simultaneously providing a card tokenization/vault service as well as a gateway and receiver integration ser... |
310 | https://python.langchain.com/docs/integrations/providers/starrocks | ProvidersMoreStarRocksOn this pageStarRocksStarRocks is a High-Performance Analytical Database.
StarRocks is a next-gen sub-second MPP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics and ad-hoc query.Usually StarRocks is categorized into OLAP, and it has showed excellen... |
311 | https://python.langchain.com/docs/integrations/providers/stochasticai | ProvidersMoreStochasticAIOn this pageStochasticAIThis page covers how to use the StochasticAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific StochasticAI wrappers.Installation and SetupInstall with pip install stochasticxGet an StochasticAI api key and ... |
312 | https://python.langchain.com/docs/integrations/providers/stripe | ProvidersMoreStripeOn this pageStripeStripe is an Irish-American financial services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.Installation and SetupSee setup instructions.Document LoaderSee a u... |
313 | https://python.langchain.com/docs/integrations/providers/supabase | ProvidersMoreSupabase (Postgres)On this pageSupabase (Postgres)Supabase is an open source Firebase alternative.
Supabase is built on top of PostgreSQL, which offers strong SQL
querying capabilities and enables a simple interface with already-existing tools and frameworks.PostgreSQL also known as Postgres,
is a free and... |
314 | https://python.langchain.com/docs/integrations/providers/symblai_nebula | ProvidersMoreNebulaOn this pageNebulaThis page covers how to use Nebula, Symbl.ai's LLM, ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Nebula wrappers.Installation and SetupGet an Nebula API Key and set as environment variable NEBULA_API_KEYPlease see ... |
315 | https://python.langchain.com/docs/integrations/providers/tair | ProvidersMoreTairOn this pageTairThis page covers how to use the Tair ecosystem within LangChain.Installation and SetupInstall Tair Python SDK with pip install tair.WrappersVectorStoreThere exists a wrapper around TairVector, allowing you to use it as a vectorstore,
whether for semantic search or example selection.T... |
316 | https://python.langchain.com/docs/integrations/providers/telegram | ProvidersMoreTelegramOn this pageTelegramTelegram Messenger is a globally accessible freemium, cross-platform, encrypted, cloud-based and centralized instant messaging service. The application also provides optional end-to-end encrypted chats and video calling, VoIP, file sharing and several other features.Installation... |
317 | https://python.langchain.com/docs/integrations/providers/tencentvectordb | ProvidersMoreTencentVectorDBOn this pageTencentVectorDBThis page covers how to use the TencentVectorDB ecosystem within LangChain.VectorStoreThere exists a wrapper around TencentVectorDB, allowing you to use it as a vectorstore,
whether for semantic search or example selection.To import this vectorstore:from langchain... |
318 | https://python.langchain.com/docs/integrations/providers/tensorflow_datasets | ProvidersMoreTensorFlow DatasetsOn this pageTensorFlow DatasetsTensorFlow Datasets is a collection of datasets ready to use,
with TensorFlow or other Python ML frameworks, such as Jax. All datasets are exposed
as tf.data.Datasets,
enabling easy-to-use and high-performance input pipelines. To get started see
the guide a... |
319 | https://python.langchain.com/docs/integrations/providers/tigris | ProvidersMoreTigrisOn this pageTigrisTigris is an open source Serverless NoSQL Database and Search Platform designed to simplify building high-performance vector search applications.
Tigris eliminates the infrastructure complexity of managing, operating, and synchronizing multiple tools, allowing you to focus on buildi... |
320 | https://python.langchain.com/docs/integrations/providers/tomarkdown | ProvidersMore2MarkdownOn this page2Markdown2markdown service transforms website content into structured markdown files.Installation and SetupWe need the API key. See instructions how to get it.Document LoaderSee a usage example.from langchain.document_loaders import ToMarkdownLoaderPreviousTigrisNextTrelloInstallatio... |
321 | https://python.langchain.com/docs/integrations/providers/trello | ProvidersMoreTrelloOn this pageTrelloTrello is a web-based project management and collaboration tool that allows individuals and teams to organize and track their tasks and projects. It provides a visual interface known as a "board" where users can create lists and cards to represent their tasks and activities.
The Tre... |
322 | https://python.langchain.com/docs/integrations/providers/trulens | ProvidersMoreTruLensOn this pageTruLensThis page covers how to use TruLens to evaluate and track LLM apps built on langchain.What is TruLens?TruLens is an opensource package that provides instrumentation and evaluation tools for large language model (LLM) based applications.Quick startOnce you've created your LLM cha... |
323 | https://python.langchain.com/docs/integrations/providers/twitter | ProvidersMoreTwitterOn this pageTwitterTwitter is an online social media and social networking service.Installation and Setuppip install tweepyWe must initialize the loader with the Twitter API token, and we need to set up the Twitter username.Document LoaderSee a usage example.from langchain.document_loaders import ... |
324 | https://python.langchain.com/docs/integrations/providers/typesense | ProvidersMoreTypesenseOn this pageTypesenseTypesense is an open source, in-memory search engine, that you can either
self-host or run
on Typesense Cloud.
Typesense focuses on performance by storing the entire index in RAM (with a backup on disk) and also
focuses on providing an out-of-the-box developer experience by si... |
325 | https://python.langchain.com/docs/integrations/providers/unstructured | ProvidersMoreUnstructuredOn this pageUnstructuredThe unstructured package from
Unstructured.IO extracts clean text from raw source documents like
PDFs and Word documents.
This page covers how to use the unstructured
ecosystem within LangChain.Installation and SetupIf you are using a loader that runs locally, use the f... |
326 | https://python.langchain.com/docs/integrations/providers/usearch | ProvidersMoreUSearchOn this pageUSearchUSearch is a Smaller & Faster Single-File Vector Search Engine.USearch's base functionality is identical to FAISS, and the interface should look
familiar if you have ever investigated Approximate Nearest Neighbors search.
USearch and FAISS both employ HNSW algorithm, but they diff... |
327 | https://python.langchain.com/docs/integrations/providers/vearch | ProvidersMoreVearchVearchVearch is a scalable distributed system for efficient similarity search of deep learning vectors.Installation and SetupVearch Python SDK enables vearch to use locally. Vearch python sdk can be installed easily by pip install vearch.VectorstoreVearch also can used as vectorstore. Most detalis in... |
328 | https://python.langchain.com/docs/integrations/providers/vectara/ | ProvidersMoreVectaraOn this pageVectaraVectara is a GenAI platform for developers. It provides a simple API to build Grounded Generation
(aka Retrieval-augmented-generation or RAG) applications.Vectara Overview:Vectara is developer-first API platform for building GenAI applicationsTo use Vectara - first sign up and cre... |
329 | https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat | ProvidersMoreVectaraChat Over Documents with VectaraOn this pageChat Over Documents with VectaraThis notebook is based on the chat_vector_db notebook, but using Vectara as the vector database.import osfrom langchain.vectorstores import Vectarafrom langchain.vectorstores.vectara import VectaraRetrieverfrom langchain.llm... |
330 | https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation | ProvidersMoreVectaraVectara Text GenerationOn this pageVectara Text GenerationThis notebook is based on text generation notebook and adapted to Vectara.Prepare DataFirst, we prepare the data. For this example, we fetch a documentation site that consists of markdown files hosted on Github and split them into small enou... |
331 | https://python.langchain.com/docs/integrations/providers/vespa | ProvidersMoreVespaOn this pageVespaVespa is a fully featured search engine and vector database.
It supports vector search (ANN), lexical search, and search in structured data, all in the same query.Installation and Setuppip install pyvespaRetrieverSee a usage example.from langchain.retrievers import VespaRetrieverPre... |
332 | https://python.langchain.com/docs/integrations/providers/wandb_tracing | ProvidersMoreWandB TracingWandB TracingThere are two recommended ways to trace your LangChains:Setting the LANGCHAIN_WANDB_TRACING environment variable to "true".Using a context manager with tracing_enabled() to trace a particular block of code.Note if the environment variable is set, all code will be traced, regardles... |
333 | https://python.langchain.com/docs/integrations/providers/wandb_tracking | ProvidersMoreWeights & BiasesWeights & BiasesThis notebook goes over how to track your LangChain experiments into one centralized Weights and Biases dashboard. To learn more about prompt engineering and the callback please refer to this Report which explains both alongside the resultant dashboards you can expect to see... |
334 | https://python.langchain.com/docs/integrations/providers/weather | ProvidersMoreWeatherOn this pageWeatherOpenWeatherMap is an open source weather service provider.Installation and Setuppip install pyowmWe must set up the OpenWeatherMap API token.Document LoaderSee a usage example.from langchain.document_loaders import WeatherDataLoaderPreviousWeights & BiasesNextWeaviateInstallatio... |
335 | https://python.langchain.com/docs/integrations/providers/weaviate | ProvidersMoreWeaviateOn this pageWeaviateWeaviate is an open-source vector database. It allows you to store data objects and vector embeddings from
your favorite ML models, and scale seamlessly into billions of data objects.What is Weaviate?Weaviate is an open-source database of the type vector search engine.Weaviate... |
336 | https://python.langchain.com/docs/integrations/providers/whatsapp | ProvidersMoreWhatsAppOn this pageWhatsAppWhatsApp (also called WhatsApp Messenger) is a freeware, cross-platform, centralized instant messaging (IM) and voice-over-IP (VoIP) service. It allows users to send text and voice messages, make voice and video calls, and share images, documents, user locations, and other conte... |
337 | https://python.langchain.com/docs/integrations/providers/whylabs_profiling | ProvidersMoreWhyLabsOn this pageWhyLabsWhyLabs is an observability platform designed to monitor data pipelines and ML applications for data quality regressions, data drift, and model performance degradation. Built on top of an open-source package called whylogs, the platform enables Data Scientists and Engineers to:Set... |
338 | https://python.langchain.com/docs/integrations/providers/wikipedia | ProvidersMoreWikipediaOn this pageWikipediaWikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWiki. Wikipedia is the largest and most-read reference work in history.I... |
339 | https://python.langchain.com/docs/integrations/providers/wolfram_alpha | ProvidersMoreWolfram AlphaOn this pageWolfram AlphaWolframAlpha is an answer engine developed by Wolfram Research.
It answers factual queries by computing answers from externally sourced data.This page covers how to use the Wolfram Alpha API within LangChain.Installation and SetupInstall requirements with pip install ... |
340 | https://python.langchain.com/docs/integrations/providers/writer | ProvidersMoreWriterOn this pageWriterThis page covers how to use the Writer ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Writer wrappers.Installation and SetupGet an Writer api key and set it as an environment variable (WRITER_API_KEY)WrappersLLMThe... |
341 | https://python.langchain.com/docs/integrations/providers/xata | ProvidersMoreXataOn this pageXataXata is a serverless data platform, based on PostgreSQL.
It provides a Python SDK for interacting with your database, and a UI
for managing your data.
Xata has a native vector type, which can be added to any table, and
supports similarity search. LangChain inserts vectors directly to Xa... |
342 | https://python.langchain.com/docs/integrations/providers/xinference | ProvidersMoreXorbits Inference (Xinference)On this pageXorbits Inference (Xinference)This page demonstrates how to use Xinference
with LangChain.Xinference is a powerful and versatile library designed to serve LLMs,
speech recognition models, and multimodal models, even on your laptop.
With Xorbits Inference, you can e... |
343 | https://python.langchain.com/docs/integrations/providers/yeagerai | ProvidersMoreYeager.aiOn this pageYeager.aiThis page covers how to use Yeager.ai to generate LangChain tools and agents.What is Yeager.ai?Yeager.ai is an ecosystem designed to simplify the process of creating AI agents and tools. It features yAgents, a No-code LangChain Agent Builder, which enables users to build, tes... |
344 | https://python.langchain.com/docs/integrations/providers/youtube | ProvidersMoreYouTubeOn this pageYouTubeYouTube is an online video sharing and social media platform by Google.
We download the YouTube transcripts and video information.Installation and Setuppip install youtube-transcript-apipip install pytubeSee a usage example.Document LoaderSee a usage example.from langchain.docum... |
345 | https://python.langchain.com/docs/integrations/providers/zep | ProvidersMoreZepOn this pageZepZep - A long-term memory store for LLM applications.Zep stores, summarizes, embeds, indexes, and enriches conversational AI chat histories, and exposes them via simple, low-latency APIs.Long-term memory persistence, with access to historical messages irrespective of your summarization str... |
346 | https://python.langchain.com/docs/integrations/providers/zilliz | ProvidersMoreZillizOn this pageZillizZilliz Cloud is a fully managed service on cloud for LF AI Milvus®,Installation and SetupInstall the Python SDK:pip install pymilvusVectorstoreA wrapper around Zilliz indexes allows you to use it as a vectorstore,
whether for semantic search or example selection.from langchain.vec... |
347 | https://python.langchain.com/docs/integrations/components | ComponentsComponents🗃️ LLMs66 items🗃️ Chat models21 items🗃️ Document loaders133 items🗃️ Document transformers8 items🗃️ Text embedding models36 items🗃️ Vector stores58 items🗃️ Retrievers29 items🗃️ Tools41 items🗃️ Agents and toolkits26 items🗃️ Memory14 items🗃️ Callbacks10 items🗃️ Chat loaders11 itemsPreviousZ... |
348 | https://python.langchain.com/docs/integrations/llms/ | ComponentsLLMsOn this pageLLMsFeatures (natively supported)All LLMs implement the Runnable interface, which comes with default implementations of all methods, ie. ainvoke, batch, abatch, stream, astream. This gives all LLMs basic support for async, streaming and batch, which by default is implemented as below:Async su... |
349 | https://python.langchain.com/docs/integrations/llms/ | ComponentsLLMsOn this pageLLMsFeatures (natively supported)All LLMs implement the Runnable interface, which comes with default implementations of all methods, ie. ainvoke, batch, abatch, stream, astream. This gives all LLMs basic support for async, streaming and batch, which by default is implemented as below:Async su... |
350 | https://python.langchain.com/docs/integrations/llms/ai21 | ComponentsLLMsAI21AI21AI21 Studio provides API access to Jurassic-2 large language models.This example goes over how to use LangChain to interact with AI21 models.# install the package:pip install ai21# get AI21_API_KEY. Use https://studio.ai21.com/account/accountfrom getpass import getpassAI21_API_KEY = getpass() ... |
351 | https://python.langchain.com/docs/integrations/llms/aleph_alpha | ComponentsLLMsAleph AlphaAleph AlphaThe Luminous series is a family of large language models.This example goes over how to use LangChain to interact with Aleph Alpha models# Install the packagepip install aleph-alpha-client# create a new token: https://docs.aleph-alpha.com/docs/account/#create-a-new-tokenfrom getpass i... |
352 | https://python.langchain.com/docs/integrations/llms/amazon_api_gateway | ComponentsLLMsAmazon API GatewayOn this pageAmazon API GatewayAmazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the "front door" for applications to access data, business logic, or functionality from your back... |
353 | https://python.langchain.com/docs/integrations/llms/anyscale | ComponentsLLMsAnyscaleAnyscaleAnyscale is a fully-managed Ray platform, on which you can build, deploy, and manage scalable AI and Python applicationsThis example goes over how to use LangChain to interact with Anyscale service. It will send the requests to Anyscale Service endpoint, which is concatenate ANYSCALE_SERVI... |
354 | https://python.langchain.com/docs/integrations/llms/arcee | ComponentsLLMsArceeOn this pageArceeThis notebook demonstrates how to use the Arcee class for generating text using Arcee's Domain Adapted Language Models (DALMs).SetupBefore using Arcee, make sure the Arcee API key is set as ARCEE_API_KEY environment variable. You can also pass the api key as a named parameter.from l... |
355 | https://python.langchain.com/docs/integrations/llms/azure_ml | ComponentsLLMsAzure MLOn this pageAzure MLAzure ML is a platform used to build, train, and deploy machine learning models. Users can explore the types of models to deploy in the Model Catalog, which provides Azure Foundation Models and OpenAI Models. Azure Foundation Models include various open-source models and popula... |
356 | https://python.langchain.com/docs/integrations/llms/azure_openai | ComponentsLLMsAzure OpenAIOn this pageAzure OpenAIThis notebook goes over how to use Langchain with Azure OpenAI.The Azure OpenAI API is compatible with OpenAI's API. The openai Python package makes it easy to use both OpenAI and Azure OpenAI. You can call Azure OpenAI the same way you call OpenAI with the exceptions... |
357 | https://python.langchain.com/docs/integrations/llms/baidu_qianfan_endpoint | ComponentsLLMsBaidu QianfanOn this pageBaidu QianfanBaidu AI Cloud Qianfan Platform is a one-stop large model development and service operation platform for enterprise developers. Qianfan not only provides including the model of Wenxin Yiyan (ERNIE-Bot) and the third-party open source models, but also provides various ... |
358 | https://python.langchain.com/docs/integrations/llms/banana | ComponentsLLMsBananaBananaBanana is focused on building the machine learning infrastructure.This example goes over how to use LangChain to interact with Banana models# Install the package https://docs.banana.dev/banana-docs/core-concepts/sdks/pythonpip install banana-dev# get new tokens: https://app.banana.dev/# We ne... |
359 | https://python.langchain.com/docs/integrations/llms/baseten | ComponentsLLMsBasetenBasetenBaseten provides all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.This example demonstrates using Langchain with models deployed on Baseten.SetupTo run this notebook, you'll need a Baseten account and an API key.You'll also need to in... |
360 | https://python.langchain.com/docs/integrations/llms/beam | ComponentsLLMsBeamBeamCalls the Beam API wrapper to deploy and make subsequent calls to an instance of the gpt2 LLM in a cloud deployment. Requires installation of the Beam library and registration of Beam Client ID and Client Secret. By calling the wrapper an instance of the model is created and run, with returned tex... |
361 | https://python.langchain.com/docs/integrations/llms/bedrock | ComponentsLLMsBedrockOn this pageBedrockAmazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case%pip install boto3from langchain.llms import Bedrockllm = Bedrock( ... |
362 | https://python.langchain.com/docs/integrations/llms/bittensor | ComponentsLLMsBittensorOn this pageBittensorBittensor is a mining network, similar to Bitcoin, that includes built-in incentives designed to encourage miners to contribute compute + knowledge.NIBittensorLLM is developed by Neural Internet, powered by Bittensor.This LLM showcases true potential of decentralized AI by gi... |
363 | https://python.langchain.com/docs/integrations/llms/cerebriumai | ComponentsLLMsCerebriumAIOn this pageCerebriumAICerebrium is an AWS Sagemaker alternative. It also provides API access to several LLM models.This notebook goes over how to use Langchain with CerebriumAI.Install cerebriumThe cerebrium package is required to use the CerebriumAI API. Install cerebrium using pip3 install ... |
364 | https://python.langchain.com/docs/integrations/llms/chatglm | ComponentsLLMsChatGLMChatGLMChatGLM-6B is an open bilingual language model based on General Language Model (GLM) framework, with 6.2 billion parameters. With the quantization technique, users can deploy locally on consumer-grade graphics cards (only 6GB of GPU memory is required at the INT4 quantization level). ChatGLM... |
365 | https://python.langchain.com/docs/integrations/llms/clarifai | ComponentsLLMsClarifaiClarifaiClarifai is an AI Platform that provides the full AI lifecycle ranging from data exploration, data labeling, model training, evaluation, and inference.This example goes over how to use LangChain to interact with Clarifai models. To use Clarifai, you must have an account and a Personal Acce... |
366 | https://python.langchain.com/docs/integrations/llms/cohere | ComponentsLLMsCohereCohereCohere is a Canadian startup that provides natural language processing models that help companies improve human-machine interactions.This example goes over how to use LangChain to interact with Cohere models.# Install the packagepip install cohere# get a new token: https://dashboard.cohere.ai/... |
367 | https://python.langchain.com/docs/integrations/llms/ctransformers | ComponentsLLMsC TransformersC TransformersThe C Transformers library provides Python bindings for GGML models.This example goes over how to use LangChain to interact with C Transformers models.Install%pip install ctransformersLoad Modelfrom langchain.llms import CTransformersllm = CTransformers(model="marella/gpt-2-ggm... |
368 | https://python.langchain.com/docs/integrations/llms/ctranslate2 | ComponentsLLMsCTranslate2On this pageCTranslate2CTranslate2 is a C++ and Python library for efficient inference with Transformer models.The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and red... |
369 | https://python.langchain.com/docs/integrations/llms/databricks | ComponentsLLMsDatabricksOn this pageDatabricksThe Databricks Lakehouse Platform unifies data, analytics, and AI on one platform.This example notebook shows how to wrap Databricks endpoints as LLMs in LangChain.
It supports two endpoint types:Serving endpoint, recommended for production and development,Cluster driver pr... |
370 | https://python.langchain.com/docs/integrations/llms/deepinfra | ComponentsLLMsDeepInfraOn this pageDeepInfraDeepInfra provides several LLMs.This notebook goes over how to use Langchain with DeepInfra.Importsimport osfrom langchain.llms import DeepInfrafrom langchain.prompts import PromptTemplatefrom langchain.chains import LLMChainSet the Environment API KeyMake sure to get your ... |
371 | https://python.langchain.com/docs/integrations/llms/deepsparse | ComponentsLLMsDeepSparseOn this pageDeepSparseThis page covers how to use the DeepSparse inference runtime within LangChain.
It is broken into two parts: installation and setup, and then examples of DeepSparse usage.Installation and SetupInstall the Python package with pip install deepsparseChoose a SparseZoo model or... |
372 | https://python.langchain.com/docs/integrations/llms/edenai | ComponentsLLMsEden AIOn this pageEden AIEden AI is revolutionizing the AI landscape by uniting the best AI providers, empowering users to unlock limitless possibilities and tap into the true potential of artificial intelligence. With an all-in-one comprehensive and hassle-free platform, it allows users to deploy AI fea... |
373 | https://python.langchain.com/docs/integrations/llms/fireworks | ComponentsLLMsFireworksFireworksFireworks accelerates product development on generative AI by creating an innovative AI experiment and production platform. This example goes over how to use LangChain to interact with Fireworks models.from langchain.llms.fireworks import Fireworksfrom langchain.prompts import PromptTemp... |
374 | https://python.langchain.com/docs/integrations/llms/forefrontai | ComponentsLLMsForefrontAIOn this pageForefrontAIThe Forefront platform gives you the ability to fine-tune and use open source large language models.This notebook goes over how to use Langchain with ForefrontAI.Importsimport osfrom langchain.llms import ForefrontAIfrom langchain.prompts import PromptTemplatefrom langch... |
375 | https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm | ComponentsLLMsGCP Vertex AIOn this pageGCP Vertex AINote: This is separate from the Google PaLM integration, it exposes Vertex AI PaLM API on Google Cloud. Setting upBy default, Google Cloud does not use customer data to train its foundation models as part of Google Cloud's AI/ML Privacy Commitment. More details about... |
376 | https://python.langchain.com/docs/integrations/llms/gooseai | ComponentsLLMsGooseAIOn this pageGooseAIGooseAI is a fully managed NLP-as-a-Service, delivered via API. GooseAI provides access to these models.This notebook goes over how to use Langchain with GooseAI.Install openaiThe openai package is required to use the GooseAI API. Install openai using pip3 install openai.$ pip3 ... |
377 | https://python.langchain.com/docs/integrations/llms/gpt4all | ComponentsLLMsGPT4AllOn this pageGPT4AllGitHub:nomic-ai/gpt4all an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue.This example goes over how to use LangChain to interact with GPT4All models.%pip install gpt4all > /dev/null Note: you may... |
378 | https://python.langchain.com/docs/integrations/llms/gradient | ComponentsLLMsGradientOn this pageGradientGradient allows to fine tune and get completions on LLMs with a simple web API.This notebook goes over how to use Langchain with Gradient.Importsimport osimport requestsfrom langchain.llms import GradientLLMfrom langchain.prompts import PromptTemplatefrom langchain.chains impo... |
379 | https://python.langchain.com/docs/integrations/llms/huggingface_hub | ComponentsLLMsHugging Face HubOn this pageHugging Face HubThe Hugging Face Hub is a platform with over 120k models, 20k datasets, and 50k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together.This example showcases how to connect to t... |
380 | https://python.langchain.com/docs/integrations/llms/huggingface_pipelines | ComponentsLLMsHugging Face Local PipelinesOn this pageHugging Face Local PipelinesHugging Face models can be run locally through the HuggingFacePipeline class.The Hugging Face Model Hub hosts over 120k models, 20k datasets, and 50k demo apps (Spaces), all open source and publicly available, in an online platform where ... |
381 | https://python.langchain.com/docs/integrations/llms/huggingface_textgen_inference | ComponentsLLMsHuggingface TextGen InferenceOn this pageHuggingface TextGen InferenceText Generation Inference is a Rust, Python and gRPC server for text generation inference. Used in production at HuggingFace to power LLMs api-inference widgets.This notebooks goes over how to use a self hosted LLM using Text Generation... |
382 | https://python.langchain.com/docs/integrations/llms/javelin | ComponentsLLMsJavelin AI Gateway TutorialOn this pageJavelin AI Gateway TutorialThis Jupyter Notebook will explore how to interact with the Javelin AI Gateway using the Python SDK.
The Javelin AI Gateway facilitates the utilization of large language models (LLMs) like OpenAI, Cohere, Anthropic, and others by
providing ... |
383 | https://python.langchain.com/docs/integrations/llms/jsonformer_experimental | ComponentsLLMsJSONFormerOn this pageJSONFormerJSONFormer is a library that wraps local HuggingFace pipeline models for structured decoding of a subset of the JSON Schema.It works by filling in the structure tokens and then sampling the content tokens from the model.Warning - this module is still experimentalpip install... |
384 | https://python.langchain.com/docs/integrations/llms/koboldai | ComponentsLLMsKoboldAI APIKoboldAI APIKoboldAI is a "a browser-based front-end for AI-assisted writing with multiple local & remote AI models...". It has a public and local API that is able to be used in langchain.This example goes over how to use LangChain with that API.Documentation can be found in the browser adding... |
385 | https://python.langchain.com/docs/integrations/llms/llamacpp | ComponentsLLMsLlama.cppOn this pageLlama.cppllama-cpp-python is a Python binding for llama.cpp. It supports inference for many LLMs, which can be accessed on HuggingFace.This notebook goes over how to run llama-cpp-python within LangChain.Note: new versions of llama-cpp-python use GGUF model files (see here).This is a ... |
386 | https://python.langchain.com/docs/integrations/llms/llm_caching | ComponentsLLMsLLM Caching integrationsOn this pageLLM Caching integrationsThis notebook covers how to cache results of individual LLM calls using different caches.import langchainfrom langchain.llms import OpenAI# To make the caching really obvious, lets use a slower model.llm = OpenAI(model_name="text-davinci-002", n=... |
387 | https://python.langchain.com/docs/integrations/llms/manifest | ComponentsLLMsManifestOn this pageManifestThis notebook goes over how to use Manifest and LangChain.For more detailed information on manifest, and how to use it with local hugginface models like in this example, see https://github.com/HazyResearch/manifestAnother example of using Manifest with Langchain.pip install man... |
388 | https://python.langchain.com/docs/integrations/llms/minimax | ComponentsLLMsMinimaxMinimaxMinimax is a Chinese startup that provides natural language processing models for companies and individuals.This example demonstrates using Langchain to interact with Minimax.SetupTo run this notebook, you'll need a Minimax account, an API key, and a Group IDSingle model callfrom langchain.l... |
389 | https://python.langchain.com/docs/integrations/llms/modal | ComponentsLLMsModalModalThe Modal cloud platform provides convenient, on-demand access to serverless cloud compute from Python scripts on your local computer.
Use modal to run your own custom LLM models instead of depending on LLM APIs.This example goes over how to use LangChain to interact with a modal HTTPS web endpo... |
390 | https://python.langchain.com/docs/integrations/llms/mosaicml | ComponentsLLMsMosaicMLMosaicMLMosaicML offers a managed inference service. You can either use a variety of open source models, or deploy your own.This example goes over how to use LangChain to interact with MosaicML Inference for text completion.# sign up for an account: https://forms.mosaicml.com/demo?utm_source=langc... |
391 | https://python.langchain.com/docs/integrations/llms/nlpcloud | ComponentsLLMsNLP CloudNLP CloudThe NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text ge... |
392 | https://python.langchain.com/docs/integrations/llms/octoai | ComponentsLLMsOctoAIOn this pageOctoAIOctoML is a service with efficient compute. It enables users to integrate their choice of AI models into applications. The OctoAI compute service helps you run, tune, and scale AI applications.This example goes over how to use LangChain to interact with OctoAI LLM endpointsSetupTo... |
393 | https://python.langchain.com/docs/integrations/llms/ollama | ComponentsLLMsOllamaOn this pageOllamaOllama allows you to run open-source large language models, such as Llama 2, locally.Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. It optimizes setup and configuration details, including GPU usage.For a complete list of support... |
394 | https://python.langchain.com/docs/integrations/llms/opaqueprompts | ComponentsLLMsOpaquePromptsOpaquePromptsOpaquePrompts is a service that enables applications to leverage the power of language models without compromising user privacy. Designed for composability and ease of integration into existing applications and services, OpaquePrompts is consumable via a simple Python library as ... |
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