id stringlengths 14 16 | text stringlengths 44 2.73k | source stringlengths 49 114 |
|---|---|---|
b8df0096f47d-0 | .md
.pdf
PromptLayer
Contents
Installation and Setup
Wrappers
LLM
PromptLayer#
This page covers how to use PromptLayer within LangChain.
It is broken into two parts: installation and setup, and then references to specific PromptLayer wrappers.
Installation and Setup#
If you want to work with PromptLayer:
Install the ... | https://python.langchain.com/en/latest/ecosystem/promptlayer.html |
b8df0096f47d-1 | you can add pl_tags when instantializing to tag your requests on PromptLayer
you can add return_pl_id when instantializing to return a PromptLayer request id to use while tracking requests.
PromptLayer also provides native wrappers for PromptLayerChatOpenAI and PromptLayerOpenAIChat
previous
Prediction Guard
next
Qdran... | https://python.langchain.com/en/latest/ecosystem/promptlayer.html |
b70d65feca7d-0 | .md
.pdf
Helicone
Contents
What is Helicone?
Quick start
How to enable Helicone caching
How to use Helicone custom properties
Helicone#
This page covers how to use the Helicone ecosystem within LangChain.
What is Helicone?#
Helicone is an open source observability platform that proxies your OpenAI traffic and provide... | https://python.langchain.com/en/latest/ecosystem/helicone.html |
b70d65feca7d-1 | Quick start
How to enable Helicone caching
How to use Helicone custom properties
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023. | https://python.langchain.com/en/latest/ecosystem/helicone.html |
c1efc72b6dad-0 | .md
.pdf
Unstructured
Contents
Installation and Setup
Wrappers
Data Loaders
Unstructured#
This page covers how to use the unstructured
ecosystem within LangChain. The unstructured package from
Unstructured.IO extracts clean text from raw source documents like
PDFs and Word documents.
This page is broken into two part... | https://python.langchain.com/en/latest/ecosystem/unstructured.html |
c1efc72b6dad-1 | loader = UnstructuredFileLoader("state_of_the_union.txt")
loader.load()
If you instantiate the loader with UnstructuredFileLoader(mode="elements"), the loader
will track additional metadata like the page number and text type (i.e. title, narrative text)
when that information is available.
previous
StochasticAI
next
Wei... | https://python.langchain.com/en/latest/ecosystem/unstructured.html |
b361e742db25-0 | .ipynb
.pdf
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 ... | https://python.langchain.com/en/latest/ecosystem/aim_tracking.html |
b361e742db25-1 | session_group = datetime.now().strftime("%m.%d.%Y_%H.%M.%S")
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 ... | https://python.langchain.com/en/latest/ecosystem/aim_tracking.html |
b361e742db25-2 | ]
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 ... | https://python.langchain.com/en/latest/ecosystem/aim_tracking.html |
b361e742db25-3 | 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.
previous
AI21 Labs
next
AnalyticDB
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023. | https://python.langchain.com/en/latest/ecosystem/aim_tracking.html |
619c74f741a5-0 | .md
.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 varia... | https://python.langchain.com/en/latest/ecosystem/ai21.html |
b385bbab3950-0 | .md
.pdf
Replicate
Contents
Installation and Setup
Calling a model
Replicate#
This page covers how to run models on Replicate within LangChain.
Installation and Setup#
Create a Replicate account. Get your API key and set it as an environment variable (REPLICATE_API_TOKEN)
Install the Replicate python client with pip ... | https://python.langchain.com/en/latest/ecosystem/replicate.html |
b385bbab3950-1 | prompt = """
Answer the following yes/no question by reasoning step by step.
Can a dog drive a car?
"""
llm(prompt)
We can call any Replicate model (not just LLMs) using this syntax. For example, we can call Stable Diffusion:
text2image = Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6d... | https://python.langchain.com/en/latest/ecosystem/replicate.html |
c26bafcc1885-0 | .md
.pdf
AtlasDB
Contents
Installation and Setup
Wrappers
VectorStore
AtlasDB#
This page covers how to use Nomic’s Atlas ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Atlas wrappers.
Installation and Setup#
Install the Python package with pip install ... | https://python.langchain.com/en/latest/ecosystem/atlas.html |
51fdf7db6242-0 | .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, c... | https://python.langchain.com/en/latest/ecosystem/apify.html |
2350db94c36e-0 | .md
.pdf
SearxNG Search API
Contents
Installation and Setup
Self Hosted Instance:
Wrappers
Utility
Tool
SearxNG Search API#
This 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 an... | https://python.langchain.com/en/latest/ecosystem/searx.html |
2350db94c36e-1 | s.run("what is a large language model?")
Tool#
You can also load this wrapper as a Tool (to use with an Agent).
You can do this with:
from langchain.agents import load_tools
tools = load_tools(["searx-search"],
searx_host="http://localhost:8888",
engines=["github"])
Note that we ... | https://python.langchain.com/en/latest/ecosystem/searx.html |
99ac8f0f3d1f-0 | .md
.pdf
Cohere
Contents
Installation and Setup
Wrappers
LLM
Embeddings
Cohere#
This page covers how to use the Cohere ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Cohere wrappers.
Installation and Setup#
Install the Python SDK with pip install coher... | https://python.langchain.com/en/latest/ecosystem/cohere.html |
7504b317a4ef-0 | .md
.pdf
RWKV-4
Contents
Installation and Setup
Usage
RWKV
Model File
Rwkv-4 models -> recommended VRAM
RWKV-4#
This 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 Setup#
Install the Python package with ... | https://python.langchain.com/en/latest/ecosystem/rwkv.html |
7504b317a4ef-1 | RWKV VRAM
Model | 8bit | bf16/fp16 | fp32
14B | 16GB | 28GB | >50GB
7B | 8GB | 14GB | 28GB
3B | 2.8GB| 6GB | 12GB
1b5 | 1.3GB| 3GB | 6GB
See the rwkv pip page for more information about strategies, including streaming and cuda support.
previous
Runhouse
next
SearxNG Search API
Contents... | https://python.langchain.com/en/latest/ecosystem/rwkv.html |
4a465981de34-0 | .md
.pdf
OpenAI
Contents
Installation and Setup
Wrappers
LLM
Embeddings
Tokenizer
Moderation
OpenAI#
This page covers how to use the OpenAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific OpenAI wrappers.
Installation and Setup#
Install the Python SDK w... | https://python.langchain.com/en/latest/ecosystem/openai.html |
4a465981de34-1 | Contents
Installation and Setup
Wrappers
LLM
Embeddings
Tokenizer
Moderation
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 25, 2023. | https://python.langchain.com/en/latest/ecosystem/openai.html |
6ec986470aad-0 | .ipynb
.pdf
Weights & Biases
Weights & Biases#
This 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 s... | https://python.langchain.com/en/latest/ecosystem/wandb_tracking.html |
6ec986470aad-1 | notes (str): The notes to log.
visualize (bool): Whether to visualize the run.
complexity_metrics (bool): Whether to log complexity metrics.
stream_logs (bool): Whether to stream callback actions to W&B
Default values for WandbCallbackHandler(...)
visualize: bool = False,
complexity_metrics: bool = False,
s... | https://python.langchain.com/en/latest/ecosystem/wandb_tracking.html |
6ec986470aad-2 | Tracking run with wandb version 0.14.0Run data is saved locally in /Users/harrisonchase/workplace/langchain/docs/ecosystem/wandb/run-20230318_150408-e47j1914Syncing run llm to Weights & Biases (docs) View project at https://wandb.ai/harrison-chase/langchain_callback_demo View run at https://wandb.ai/harrison-chase/lang... | https://python.langchain.com/en/latest/ecosystem/wandb_tracking.html |
6ec986470aad-3 | wandb_callback.flush_tracker(llm, name="simple_sequential")
Waiting for W&B process to finish... (success). View run llm at: https://wandb.ai/harrison-chase/langchain_callback_demo/runs/e47j1914Synced 5 W&B file(s), 2 media file(s), 5 artifact file(s) and 0 other file(s)Find logs at: ./wandb/run-20230318_150408-e47j191... | https://python.langchain.com/en/latest/ecosystem/wandb_tracking.html |
6ec986470aad-4 | ]
synopsis_chain.apply(test_prompts)
wandb_callback.flush_tracker(synopsis_chain, name="agent")
Waiting for W&B process to finish... (success). View run simple_sequential at: https://wandb.ai/harrison-chase/langchain_callback_demo/runs/jyxma7huSynced 4 W&B file(s), 2 media file(s), 6 artifact file(s) and 0 other file(s... | https://python.langchain.com/en/latest/ecosystem/wandb_tracking.html |
6ec986470aad-5 | Action: Search
Action Input: "Leo DiCaprio girlfriend"
Observation: DiCaprio had a steady girlfriend in Camila Morrone. He had been with the model turned actress for nearly five years, as they were first said to be dating at the end of 2017. And the now 26-year-old Morrone is no stranger to Hollywood.
Thought: I need t... | https://python.langchain.com/en/latest/ecosystem/wandb_tracking.html |
a25be3e63a70-0 | .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.vecto... | https://python.langchain.com/en/latest/ecosystem/analyticdb.html |
8348ff7990da-0 | .md
.pdf
Hazy Research
Contents
Installation and Setup
Wrappers
LLM
Hazy Research#
This page covers how to use the Hazy Research ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Hazy Research wrappers.
Installation and Setup#
To use the manifest, install... | https://python.langchain.com/en/latest/ecosystem/hazy_research.html |
37defdd7e1aa-0 | .md
.pdf
SerpAPI
Contents
Installation and Setup
Wrappers
Utility
Tool
SerpAPI#
This 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 Setup#
Install requirements with pip install ... | https://python.langchain.com/en/latest/ecosystem/serpapi.html |
aad0c67ffd26-0 | .md
.pdf
Wolfram Alpha Wrapper
Contents
Installation and Setup
Wrappers
Utility
Tool
Wolfram Alpha Wrapper#
This page covers how to use the Wolfram Alpha API within LangChain.
It is broken into two parts: installation and setup, and then references to specific Wolfram Alpha wrappers.
Installation and Setup#
Install r... | https://python.langchain.com/en/latest/ecosystem/wolfram_alpha.html |
35b6f40933d9-0 | .md
.pdf
Milvus
Contents
Installation and Setup
Wrappers
VectorStore
Milvus#
This page covers how to use the Milvus ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Milvus wrappers.
Installation and Setup#
Install the Python SDK with pip install pymilvus... | https://python.langchain.com/en/latest/ecosystem/milvus.html |
2864d5fce4dd-0 | .md
.pdf
Google Search Wrapper
Contents
Installation and Setup
Wrappers
Utility
Tool
Google Search Wrapper#
This page covers how to use the Google Search API within LangChain.
It is broken into two parts: installation and setup, and then references to the specific Google Search wrapper.
Installation and Setup#
Instal... | https://python.langchain.com/en/latest/ecosystem/google_search.html |
65dcb23fb1ab-0 | .md
.pdf
Yeager.ai
Contents
What is Yeager.ai?
yAgents
How to use?
Creating and Executing Tools with yAgents
Yeager.ai#
This 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 featu... | https://python.langchain.com/en/latest/ecosystem/yeagerai.html |
65dcb23fb1ab-1 | create a tool that returns the n-th prime number
Load the tool into the toolkit: To load a tool into yAgents, simply provide a command to yAgents that says so. For example:
load the tool that you just created it into your toolkit
Execute the tool: To run a tool or agent, simply provide a command to yAgents that include... | https://python.langchain.com/en/latest/ecosystem/yeagerai.html |
cf63c6c08e1f-0 | .md
.pdf
Graphsignal
Contents
Installation and Setup
Tracing and Monitoring
Graphsignal#
This page covers how to use Graphsignal to trace and monitor LangChain. Graphsignal enables full visibility into your application. It provides latency breakdowns by chains and tools, exceptions with full context, data monitoring,... | https://python.langchain.com/en/latest/ecosystem/graphsignal.html |
d5084808c558-0 | .md
.pdf
Jina
Contents
Installation and Setup
Wrappers
Embeddings
Jina#
This page covers how to use the Jina ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Jina wrappers.
Installation and Setup#
Install the Python SDK with pip install jina
Get a Jina A... | https://python.langchain.com/en/latest/ecosystem/jina.html |
4244ddf58431-0 | .md
.pdf
DeepInfra
Contents
Installation and Setup
Wrappers
LLM
DeepInfra#
This page covers how to use the DeepInfra ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific DeepInfra wrappers.
Installation and Setup#
Get your DeepInfra api key from this link he... | https://python.langchain.com/en/latest/ecosystem/deepinfra.html |
f0d675d62482-0 | .md
.pdf
Weaviate
Contents
Installation and Setup
Wrappers
VectorStore
Weaviate#
This page covers how to use the Weaviate ecosystem within LangChain.
What is Weaviate?
Weaviate in a nutshell:
Weaviate is an open-source database of the type vector search engine.
Weaviate allows you to store JSON documents in a class... | https://python.langchain.com/en/latest/ecosystem/weaviate.html |
f0d675d62482-1 | To import this vectorstore:
from langchain.vectorstores import Weaviate
For a more detailed walkthrough of the Weaviate wrapper, see this notebook
previous
Weights & Biases
next
Wolfram Alpha Wrapper
Contents
Installation and Setup
Wrappers
VectorStore
By Harrison Chase
© Copyright 2023, Harrison Chase.
... | https://python.langchain.com/en/latest/ecosystem/weaviate.html |
401d29ba74ce-0 | .md
.pdf
MyScale
Contents
Introduction
Installation and Setup
Setting up envrionments
Wrappers
VectorStore
MyScale#
This page covers how to use MyScale vector database within LangChain.
It is broken into two parts: installation and setup, and then references to specific MyScale wrappers.
With MyScale, you can manage ... | https://python.langchain.com/en/latest/ecosystem/myscale.html |
401d29ba74ce-1 | index = MyScale(embedding_function, config)
index.add_documents(...)
Wrappers#
supported functions:
add_texts
add_documents
from_texts
from_documents
similarity_search
asimilarity_search
similarity_search_by_vector
asimilarity_search_by_vector
similarity_search_with_relevance_scores
VectorStore#
There exists a wrapper ... | https://python.langchain.com/en/latest/ecosystem/myscale.html |
9888ceb7ddd8-0 | .ipynb
.pdf
ClearML Integration
Contents
Getting API Credentials
Setting Up
Scenario 1: Just an LLM
Scenario 2: Creating an agent with tools
Tips and Next Steps
ClearML Integration#
In order to properly keep track of your langchain experiments and their results, you can enable the ClearML integration. ClearML is an e... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-1 | # Get the OpenAI model ready to go
llm = OpenAI(temperature=0, callback_manager=manager, verbose=True)
The clearml callback is currently in beta and is subject to change based on updates to `langchain`. Please report any issues to https://github.com/allegroai/clearml/issues with the tag `langchain`.
Scenario 1: Just an... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-2 | {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 3, 'starts': 2, 'ends': 1, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 1, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'prompts': 'Tell me a poem'}
{'action': 'on_llm_start', 'name': 'OpenAI', '... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-3 | {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 3, 'starts': 2, 'ends': 1, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 1, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'prompts': 'Tell me a joke'}
{'action': 'on_llm_start', 'name': 'OpenAI', '... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-4 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 24, 'token_usage_completion_tokens': 138, 'token_usage_total_tokens': 162, 'model_name': 'text-davinci-003', 'step': 4, 'starts': 2, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 2, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-5 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 24, 'token_usage_completion_tokens': 138, 'token_usage_total_tokens': 162, 'model_name': 'text-davinci-003', 'step': 4, 'starts': 2, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 2, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-6 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 24, 'token_usage_completion_tokens': 138, 'token_usage_total_tokens': 162, 'model_name': 'text-davinci-003', 'step': 4, 'starts': 2, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 2, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-7 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 24, 'token_usage_completion_tokens': 138, 'token_usage_total_tokens': 162, 'model_name': 'text-davinci-003', 'step': 4, 'starts': 2, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 2, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-8 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 24, 'token_usage_completion_tokens': 138, 'token_usage_total_tokens': 162, 'model_name': 'text-davinci-003', 'step': 4, 'starts': 2, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 2, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-9 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 24, 'token_usage_completion_tokens': 138, 'token_usage_total_tokens': 162, 'model_name': 'text-davinci-003', 'step': 4, 'starts': 2, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 2, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-10 | 0 on_llm_start OpenAI 1 1 0 0 0 0
1 on_llm_start OpenAI 1 1 0 0 0 0
2 on_llm_start OpenAI 1 1 0 0 0 0
3 on_llm_start OpenAI 1 1 0 0 0 0
... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-11 | 14 on_llm_start OpenAI 3 2 1 0 0 0
15 on_llm_start OpenAI 3 2 1 0 0 0
16 on_llm_start OpenAI 3 2 1 0 0 0
17 on_llm_start OpenAI 3 2 1 0 0 0
... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-12 | 5 0 1 ... NaN NaN
6 0 1 ... 0.0 5.5
7 0 1 ... 2.0 6.5
8 0 1 ... 0.0 5.5
9 0 ... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-13 | 0 NaN NaN NaN NaN
1 NaN NaN NaN NaN
2 NaN NaN NaN NaN
3 NaN NaN NaN NaN
4 NaN N... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-14 | 21 8.28 6th and 7th grade 115.58 112.37
22 5.20 5th and 6th grade 133.58 131.54
23 8.28 6th and 7th grade 115.58 112.37
gutierrez_polini crawford gulpease_index osman
0 NaN NaN NaN ... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-15 | 19 54.83 1.4 72.1 100.17
20 62.30 -0.2 79.8 116.91
21 54.83 1.4 72.1 100.17
22 62.30 -0.2 79.8 116.91
23 54.83 1.4 72.1 100.17
[24 rows x 39 columns], 'session_an... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-16 | 2 \n\nQ: What did the fish say when it hit the w...
3 \n\nRoses are red,\nViolets are blue,\nSugar i...
4 \n\nQ: What did the fish say when it hit the w...
5 \n\nRoses are red,\nViolets are blue,\nSugar i...
6 \n\nQ: What did the fish say when it hit the w...
7 \n\nRoses are red,\nViolets are... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-17 | 1 138 83.66 4.8
2 138 109.04 1.3
3 138 83.66 4.8
4 138 109.04 1.3
... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-18 | 10 ... 0 5.5 5.20
11 ... 2 6.5 8.28
text_standard fernandez_huerta szigriszt_pazos gutierrez_polini \
0 5th and 6th grade 133.58 131.54 62.30
1 6th and 7th grade 115... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-19 | crawford gulpease_index osman
0 -0.2 79.8 116.91
1 1.4 72.1 100.17
2 -0.2 79.8 116.91
3 1.4 72.1 100.17
4 -0.2 79.8 116.91
5 1.4 72.1 100.17
6 -0.2 79.8 116.91
7 1.4 ... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-20 | Finally, if you enabled visualizations, these are stored as HTML files under debug samples.
Scenario 2: Creating an agent with tools#
To show a more advanced workflow, let’s create an agent with access to tools. The way ClearML tracks the results is not different though, only the table will look slightly different as t... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-21 | {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 2, 'starts': 2, 'ends': 0, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 1, 'llm_ends': 0, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'prompts': 'Answer the following questions as best you can. You have access... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-22 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 189, 'token_usage_completion_tokens': 34, 'token_usage_total_tokens': 223, 'model_name': 'text-davinci-003', 'step': 3, 'starts': 2, 'ends': 1, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 1, 'llm_ends': 1, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-23 | I need to find out who sang summer of 69 and then find out who their wife is.
Action: Search
Action Input: "Who sang summer of 69"{'action': 'on_agent_action', 'tool': 'Search', 'tool_input': 'Who sang summer of 69', 'log': ' I need to find out who sang summer of 69 and then find out who their wife is.\nAction: Search\... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-24 | Observation: Bryan Adams - Summer Of 69 (Official Music Video).
Thought:{'action': 'on_tool_end', 'output': 'Bryan Adams - Summer Of 69 (Official Music Video).', 'step': 6, 'starts': 4, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 1, 'llm_ends': 1, 'llm_streams': 0, 'tool_sta... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-25 | {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 7, 'starts': 5, 'ends': 2, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 1, 'llm_streams': 0, 'tool_starts': 2, 'tool_ends': 1, 'agent_ends': 0, 'prompts': 'Answer the following questions as best you can. You have access... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-26 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 242, 'token_usage_completion_tokens': 28, 'token_usage_total_tokens': 270, 'model_name': 'text-davinci-003', 'step': 8, 'starts': 5, 'ends': 3, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 2, 'llm_streams': 0, 'tool_st... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-27 | I need to find out who Bryan Adams is married to.
Action: Search
Action Input: "Who is Bryan Adams married to"{'action': 'on_agent_action', 'tool': 'Search', 'tool_input': 'Who is Bryan Adams married to', 'log': ' I need to find out who Bryan Adams is married to.\nAction: Search\nAction Input: "Who is Bryan Adams marri... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-28 | Thought:{'action': 'on_tool_end', 'output': 'Bryan Adams has never married. In the 1990s, he was in a relationship with Danish model Cecilie Thomsen. In 2011, Bryan and Alicia Grimaldi, his ...', 'step': 11, 'starts': 7, 'ends': 4, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 2, 'llm_en... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-29 | {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 12, 'starts': 8, 'ends': 4, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 3, 'llm_ends': 2, 'llm_streams': 0, 'tool_starts': 4, 'tool_ends': 2, 'agent_ends': 0, 'prompts': 'Answer the following questions as best you can. You have acces... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-30 | to the original input question\n\nBegin!\n\nQuestion: Who is the wife of the person who sang summer of 69?\nThought: I need to find out who sang summer of 69 and then find out who their wife is.\nAction: Search\nAction Input: "Who sang summer of 69"\nObservation: Bryan Adams - Summer Of 69 (Official Music Video).\nThou... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-31 | {'action': 'on_llm_end', 'token_usage_prompt_tokens': 314, 'token_usage_completion_tokens': 18, 'token_usage_total_tokens': 332, 'model_name': 'text-davinci-003', 'step': 13, 'starts': 8, 'ends': 5, 'errors': 0, 'text_ctr': 0, 'chain_starts': 1, 'chain_ends': 0, 'llm_starts': 3, 'llm_ends': 3, 'llm_streams': 0, 'tool_s... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-32 | I now know the final answer.
Final Answer: Bryan Adams has never been married.
{'action': 'on_agent_finish', 'output': 'Bryan Adams has never been married.', 'log': ' I now know the final answer.\nFinal Answer: Bryan Adams has never been married.', 'step': 14, 'starts': 8, 'ends': 6, 'errors': 0, 'text_ctr': 0, 'chain_... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-33 | 4 on_llm_start OpenAI 1 1 0 0 0
.. ... ... ... ... ... ... ...
66 on_tool_end NaN 11 7 4 0 0
67 on_llm_start OpenAI 12 8 4 0 0
68 on_llm_end NaN 13 8 ... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-34 | 69 1 0 3 ... NaN NaN NaN
70 1 1 3 ... NaN NaN NaN
tool tool_input log \
0 NaN NaN NaN
1 NaN ... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-35 | 0 2 Answer the following questions as best you can... OpenAI
1 7 Answer the following questions as best you can... OpenAI
2 12 Answer the following questions as best you can... OpenAI
output_step output \
0 3 I n... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
9888ceb7ddd8-36 | 2 3rd and 4th grade 115.70 110.84 49.79
crawford gulpease_index osman
0 0.9 72.7 92.16
1 0.7 74.7 84.20
2 0.7 85.4 83.14
[3 rows x 24 columns]}
Could not update last created model in Task 988bd727b0e94a29a3ac0ee526813545... | https://python.langchain.com/en/latest/ecosystem/clearml_tracking.html |
7441c03d5332-0 | .md
.pdf
OpenSearch
Contents
Installation and Setup
Wrappers
VectorStore
OpenSearch#
This page covers how to use the OpenSearch ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific OpenSearch wrappers.
Installation and Setup#
Install the Python package with ... | https://python.langchain.com/en/latest/ecosystem/opensearch.html |
92a450fba618-0 | .md
.pdf
ForefrontAI
Contents
Installation and Setup
Wrappers
LLM
ForefrontAI#
This page covers how to use the ForefrontAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific ForefrontAI wrappers.
Installation and Setup#
Get an ForefrontAI api key and set i... | https://python.langchain.com/en/latest/ecosystem/forefrontai.html |
092970b663ab-0 | .md
.pdf
StochasticAI
Contents
Installation and Setup
Wrappers
LLM
StochasticAI#
This 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 Setup#
Install with pip install stochas... | https://python.langchain.com/en/latest/ecosystem/stochasticai.html |
440fce23625a-0 | .md
.pdf
CerebriumAI
Contents
Installation and Setup
Wrappers
LLM
CerebriumAI#
This page covers how to use the CerebriumAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific CerebriumAI wrappers.
Installation and Setup#
Install with pip install cerebrium
G... | https://python.langchain.com/en/latest/ecosystem/cerebriumai.html |
f0b4a5ef6db6-0 | .md
.pdf
PGVector
Contents
Installation
Setup
Wrappers
VectorStore
Usage
PGVector#
This page covers how to use the Postgres PGVector ecosystem within LangChain
It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.
Installation#
Install the Python package with pip inst... | https://python.langchain.com/en/latest/ecosystem/pgvector.html |
faa3ef75984f-0 | .md
.pdf
Banana
Contents
Installation and Setup
Define your Banana Template
Build the Banana app
Wrappers
LLM
Banana#
This page covers how to use the Banana ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Banana wrappers.
Installation and Setup#
Install... | https://python.langchain.com/en/latest/ecosystem/bananadev.html |
faa3ef75984f-1 | bad_words_ids=[[tokenizer.encode(' ', add_prefix_space=True)[0]]]
)
result = tokenizer.decode(output[0], skip_special_tokens=True)
# Return the results as a dictionary
result = {'output': result}
return result
You can find a full example of a Banana app here.
Wrappers#
LLM#
There exists an Banan... | https://python.langchain.com/en/latest/ecosystem/bananadev.html |
bb614a4480d9-0 | .md
.pdf
GPT4All
Contents
Installation and Setup
Usage
GPT4All
Model File
GPT4All#
This page covers how to use the GPT4All wrapper within LangChain. The tutorial is divided into two parts: installation and setup, followed by usage with an example.
Installation and Setup#
Install the Python package with pip install py... | https://python.langchain.com/en/latest/ecosystem/gpt4all.html |
bb614a4480d9-1 | Model File#
You can find links to model file downloads in the pyllamacpp repository.
For a more detailed walkthrough of this, see this notebook
previous
GooseAI
next
Graphsignal
Contents
Installation and Setup
Usage
GPT4All
Model File
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last upda... | https://python.langchain.com/en/latest/ecosystem/gpt4all.html |
20bbedde67ac-0 | .md
.pdf
Deep Lake
Contents
Why Deep Lake?
More Resources
Installation and Setup
Wrappers
VectorStore
Deep Lake#
This page covers how to use the Deep Lake ecosystem within LangChain.
Why Deep Lake?#
More than just a (multi-modal) vector store. You can later use the dataset to fine-tune your own LLM models.
Not only s... | https://python.langchain.com/en/latest/ecosystem/deeplake.html |
f1b0f332ee3b-0 | .md
.pdf
NLPCloud
Contents
Installation and Setup
Wrappers
LLM
NLPCloud#
This page covers how to use the NLPCloud ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific NLPCloud wrappers.
Installation and Setup#
Install the Python SDK with pip install nlpcloud... | https://python.langchain.com/en/latest/ecosystem/nlpcloud.html |
5fc31f3b4474-0 | .md
.pdf
Runhouse
Contents
Installation and Setup
Self-hosted LLMs
Self-hosted Embeddings
Runhouse#
This page covers how to use the Runhouse ecosystem within LangChain.
It is broken into three parts: installation and setup, LLMs, and Embeddings.
Installation and Setup#
Install the Python SDK with pip install runhouse... | https://python.langchain.com/en/latest/ecosystem/runhouse.html |
e6cc36bb44c7-0 | .md
.pdf
Petals
Contents
Installation and Setup
Wrappers
LLM
Petals#
This page covers how to use the Petals ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Petals wrappers.
Installation and Setup#
Install with pip install petals
Get a Hugging Face api k... | https://python.langchain.com/en/latest/ecosystem/petals.html |
797285e90f6c-0 | .md
.pdf
Modal
Contents
Installation and Setup
Define your Modal Functions and Webhooks
Wrappers
LLM
Modal#
This page covers how to use the Modal ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Modal wrappers.
Installation and Setup#
Install with pip in... | https://python.langchain.com/en/latest/ecosystem/modal.html |
797285e90f6c-1 | @stub.webhook(method="POST")
def get_text(item: Item):
return {"prompt": run_gpt2.call(item.prompt)}
Wrappers#
LLM#
There exists an Modal LLM wrapper, which you can access with
from langchain.llms import Modal
previous
Milvus
next
MyScale
Contents
Installation and Setup
Define your Modal Functions and Webhooks
... | https://python.langchain.com/en/latest/ecosystem/modal.html |
ea4c6b81c5e7-0 | .md
.pdf
Databerry
Contents
What is Databerry?
Quick start
Databerry#
This page covers how to use the Databerry within LangChain.
What is Databerry?#
Databerry is an open source document retrievial platform that helps to connect your personal data with Large Language Models.
Quick start#
Retrieving documents stored i... | https://python.langchain.com/en/latest/ecosystem/databerry.html |
bb4a163922b5-0 | .md
.pdf
GooseAI
Contents
Installation and Setup
Wrappers
LLM
GooseAI#
This page covers how to use the GooseAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific GooseAI wrappers.
Installation and Setup#
Install the Python SDK with pip install openai
Get y... | https://python.langchain.com/en/latest/ecosystem/gooseai.html |
ef18452de2ed-0 | Source code for langchain.document_transformers
"""Transform documents"""
from typing import Any, Callable, List, Sequence
import numpy as np
from pydantic import BaseModel, Field
from langchain.embeddings.base import Embeddings
from langchain.math_utils import cosine_similarity
from langchain.schema import BaseDocumen... | https://python.langchain.com/en/latest/_modules/langchain/document_transformers.html |
ef18452de2ed-1 | for first_idx, second_idx in redundant_stacked[redundant_sorted]:
if first_idx in included_idxs and second_idx in included_idxs:
# Default to dropping the second document of any highly similar pair.
included_idxs.remove(second_idx)
return list(sorted(included_idxs))
def _get_embeddin... | https://python.langchain.com/en/latest/_modules/langchain/document_transformers.html |
ef18452de2ed-2 | """Filter down documents."""
stateful_documents = get_stateful_documents(documents)
embedded_documents = _get_embeddings_from_stateful_docs(
self.embeddings, stateful_documents
)
included_idxs = _filter_similar_embeddings(
embedded_documents, self.similarity_fn, s... | https://python.langchain.com/en/latest/_modules/langchain/document_transformers.html |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.