langchain

Commit Graph

Author	SHA1	Message	Date
Lance Martin	2ab04a4e32	Update agent docs, move to use-case sub-directory (#9344 ) Re-structure and add new agent page	1 year ago
Lance Martin	985873c497	Update RAG use case (move to ntbk) (#9340 )	1 year ago
Harrison Chase	709a67d9bf	multivector notebook (#9740 )	1 year ago
Fabrizio Ruocco	cacaf487c3	Azure Cognitive Search - update sdk b8, mod user agent, search with scores (#9191 ) Description: Update Azure Cognitive Search SDK to version b8 (breaking change) Customizable User Agent. Implemented Similarity search with scores @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Margaret Qian	30151c99c7	Update Mosaic endpoint input/output api (#7391 ) As noted in prior PRs (https://github.com/hwchase17/langchain/pull/6060, https://github.com/hwchase17/langchain/pull/7348), the input/output format has changed a few times as we've stabilized our inference API. This PR updates the API to the latest stable version as indicated in our docs: https://docs.mosaicml.com/en/latest/inference.html The input format looks like this: `{"inputs": [<prompt>]} ` The output format looks like this: ` {"outputs": [<output_text>]} ` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	ade482c17e	add twitter chat loader doc (#9737 )	1 year ago
Leonid Kuligin	87da56fb1e	Added a pdf parser based on DocAI (#9579 ) #9578 --------- Co-authored-by: Leonid Kuligin <kuligin@google.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Tudor Golubenco	dc30edf51c	Xata as a chat message memory store (#9719 ) This adds Xata as a memory store also to the python version of LangChain, similar to the [one for LangChain.js](https://github.com/hwchase17/langchainjs/pull/2217). I have added a Jupyter Notebook with a simple and a more complex example using an agent. To run the integration test, you need to execute something like: ``` XATA_API_KEY='xau_...' XATA_DB_URL="https://demo-uni3q8.eu-west-1.xata.sh/db/langchain" poetry run pytest tests/integration_tests/memory/test_xata.py ``` Where `langchain` is the database you create in Xata.	1 year ago
William FH	dff00ea91e	Chat Loaders (#9708 ) Still working out interface/notebooks + need discord data dump to test out things other than copy+paste Update: - Going to remove the 'user_id' arg in the loaders themselves and just standardize on putting the "sender" arg in the extra kwargs. Then can provide a utility function to map these to ai and human messages - Going to move the discord one into just a notebook since I don't have a good dump to test on and copy+paste maybe isn't the greatest thing to support in v0 - Need to do more testing on slack since it seems the dump only includes channels and NOT 1 on 1 convos - --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Bagatur	22b6549a34	sort api classes (#9710 )	1 year ago
Tomaz Bratanic	dacf96895a	Add the option to use separate LLMs for GraphCypherQA chain (#9689 ) The Graph Chains are different in the way that it uses two LLMChains instead of one like the retrievalQA chains. Therefore, sometimes you want to use different LLM to generate the database query and to generate the final answer. This feature would make it more convenient to use different LLMs in the same chain. I have also renamed the Graph DB QA Chain to Neo4j DB QA Chain in the documentation only as it is used only for Neo4j. The naming was ambigious as it was the first graphQA chain added and wasn't sure how do you want to spin it.	1 year ago
Lance Martin	c37be7f5fb	Add Code LLaMA to code QA use case (#9713 ) Use [Ollama integration](https://ollama.ai/blog/run-code-llama-locally).	1 year ago
Leonid Ganeline	cf792891f1	📖 docs: compact api reference (#8651 ) Updated design of the "API Reference" text Here is an example of the current format: ![image](https://github.com/langchain-ai/langchain/assets/2256422/8727f2ba-1b69-497f-aa07-07f939b6da3b) It changed to `langchain.retrievers.ElasticSearchBM25Retriever` format. The same format as it is in the API Reference Toc. It also resembles code: `from langchain.retrievers import ElasticSearchBM25Retriever` (namespace THEN class_name) Current format is `ElasticSearchBM25Retriever from langchain.retrievers` (class_name THEN namespace) This change is in line with other formats and improves readability. @baskaryan	1 year ago
Patrick Loeber	6bedfdf25a	Fix docs for AssemblyAIAudioTranscriptLoader (shorter import path) (#9687 ) Uses the shorter import path `from langchain.document_loaders import` instead of the full path `from langchain.document_loaders.assemblyai` Applies those changes to the docs and the unit test. See #9667 that adds this new loader.	1 year ago
了空	7cf5c582d2	Added a link to the dependencies document (#9703 )	1 year ago
Harrison Chase	9963b32e59	Harrison/multi vector (#9700 )	1 year ago
Leonid Ganeline	b048236c1a	📖 docs: `integrations/agent_toolkits` (#9333 ) Note: There are no changes in the file names! - The group name on the main navbar changed: `Agent toolkits` -> `Agents & Toolkits`. Examples here are the mix of the Agent and Toolkit examples because Agents and Toolkits in examples are always used together. - Titles changed: removed "Agent" and "Toolkit" suffixes. The reason is the same. - Formatting: mostly cleaning the header structure, so it could be better on the right-side navbar. Main navbar is looking much cleaner now.	1 year ago
Patrick Loeber	5990651070	Add new document_loader: AssemblyAIAudioTranscriptLoader (#9667 ) This PR adds a new document loader `AssemblyAIAudioTranscriptLoader` that allows to transcribe audio files with the [AssemblyAI API](https://www.assemblyai.com) and loads the transcribed text into documents. - Add new document_loader with class `AssemblyAIAudioTranscriptLoader` - Add optional dependency `assemblyai` - Add unit tests (using a Mock client) - Add docs notebook This is the equivalent to the JS integration already available in LangChain.js. See the [LangChain JS docs AssemblyAI page](https://js.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_loaders/assemblyai_audio_transcription). At its simplest, you can use the loader to get a transcript back from an audio file like this: ```python from langchain.document_loaders.assemblyai import AssemblyAIAudioTranscriptLoader loader = AssemblyAIAudioTranscriptLoader(file_path="./testfile.mp3") docs = loader.load() ``` To use it, it needs the `assemblyai` python package installed, and the environment variable `ASSEMBLYAI_API_KEY` set with your API key. Alternatively, the API key can also be passed as an argument. Twitter handles to shout out if so kindly 🙇 [@AssemblyAI](https://twitter.com/AssemblyAI) and [@patloeber](https://twitter.com/patloeber) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
seamusp	25f2c82ae8	docs:misc fixes (#9671 ) Improve internal consistency in LangChain documentation - Change occurrences of eg and eg. to e.g. - Fix headers containing unnecessary capital letters. - Change instances of "few shot" to "few-shot". - Add periods to end of sentences where missing. - Minor spelling and grammar fixes.	1 year ago
Eugene Yurtsev	b88dfcb42a	Add indexing support (#9614 ) This PR introduces a persistence layer to help with indexing workflows into vectostores. The indexing code helps users to: 1. Avoid writing duplicated content into the vectostore 2. Avoid over-writing content if it's unchanged Importantly, this keeps on working even if the content being written is derived via a set of transformations from some source content (e.g., indexing children documents that were derived from parent documents by chunking.) The two main components are: 1. Persistence layer that keeps track of which keys were updated and when. Keeping track of the timestamp of updates, allows to clean up old content safely, and with minimal complexity. 2. HashedDocument which is used to hash the contents (including metadata) of the documents. We rely on the hashes for identifying duplicates. The indexing code works with ANY document loader. To add transformations to the documents, users for now can add a custom document loader that composes an existing loader together with document transformers. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lakshay Kansal	a8c916955f	Updates to Nomic Atlas and GPT4All documentation (#9414 ) Description: Updates for Nomic AI Atlas and GPT4All integrations documentation. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Keras Conv3d	cbaea8d63b	tair fix distance_type error, and add hybrid search (#9531 ) - fix: distance_type error, - feature: Tair add hybrid search --------- Co-authored-by: thw <hanwen.thw@alibaba-inc.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jacob Lee	278ef0bdcf	Adds ChatOllama (#9628 ) @rlancemartin --------- Co-authored-by: Adilkhan Sarsen <54854336+adolkhan@users.noreply.github.com> Co-authored-by: Kim Minjong <make.dirty.code@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	80dd162e0d	mv embedding cache docs (#9664 )	1 year ago
Bagatur	a40c12bb88	Update the nlpcloud connector after some changes on the NLP Cloud API (#9586 ) - Description: remove some text generation deprecated parameters and update the embeddings doc, - Tag maintainer: @rlancemartin	1 year ago
Bagatur	d8e2dd4c89	mv	1 year ago
Bagatur	e2e582f1f6	Fixed source key name for docugami loader (#8598 ) The Docugami loader was not returning the source metadata key. This was triggering this exception when used with retrievers, per https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/schema/prompt_template.py#L193C1-L195C41 The fix is simple and just updates the metadata key name for the document each chunk is sourced from, from "name" to "source" as expected. I tested by running the python notebook that has an end to end scenario in it. Tagging DataLoader maintainers @rlancemartin @eyurtsev	1 year ago
Zizhong Zhang	8a03836160	docs: fix PromptGuard docs (#9659 ) Fix PromptGuard docs. Noticed several trivial issues on the docs when integrating the new class. cc @baskaryan	1 year ago
Yong woo Song	f0ae10a20e	Fix typo in tigris (#9637 ) The link has a typo in [tigirs docs](https://python.langchain.com/docs/integrations/providers/tigris), so I couldn't access it. So, I have corrected it. Thanks! ☺️	1 year ago
Junlin Zhou	5b9bdcac1b	docs: fix link url (#9643 ) This pull request corrects the URL links in the Async API documentation to align with the updated project layout. The links had not been updated despite the changes in layout.	1 year ago
Aashish Saini	eb92da84a1	Fixings grammatical errors in Doc Files (#9647 ) Fixing some typos and grammatical error is doc file. @eyurtsev , @baskaryan Thanks --------- Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com> Co-authored-by: Ishita Chauhan <136303787+IshitaChauhanShortHillsAI@users.noreply.github.com>	1 year ago
Joseph McElroy	2a06e7b216	ElasticsearchStore: improve error logging for adding documents (#9648 ) Not obvious what the error is when you cannot index. This pr adds the ability to log the first errors reason, to help the user diagnose the issue. Also added some more documentation for when you want to use the vectorstore with an embedding model deployed in elasticsearch. Credit: @elastic and @phoey1	1 year ago
Julien Salinas	f1072cc31f	Merge branch 'master' into master	1 year ago
Leonid Ganeline	e1f4f9ac3e	docs: `integrations/providers` (#9631 ) Added missed pages for `integrations/providers` from `vectorstores`. Updated several `vectorstores` notebooks.	1 year ago
anifort	900c1f3e8d	Add support for structured data sources with google enterprise search (#9037 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Added the capability to handles structured data from google enterprise search, - Issue: Retriever failed when underline search engine was integrated with structured data, - Dependencies: google-api-core - Tag maintainer: @jarokaz - Twitter handle: anifort Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Christos Aniftos <aniftos@google.com> Co-authored-by: Holt Skinner <13262395+holtskinner@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Jacob Lee	632a83c48e	Update ChatOpenAI docs with fine-tuning example (#9632 )	1 year ago
Adilkhan Sarsen	f29312eb84	Fixing deeplake.mdx file as it uses outdates links (#9602 ) deeplake.mdx was using old links and was not working properly, in the PR we fix the issue.	1 year ago
klae01	b868ef23bc	Add AINetwork blockchain toolkit integration (#9527 ) # Description This PR introduces a new toolkit for interacting with the AINetwork blockchain. The toolkit provides a set of tools for performing various operations on the AINetwork blockchain, such as transferring AIN, reading and writing values to the blockchain database, managing apps, setting rules and owners. # Dependencies [ain-py](https://github.com/ainblockchain/ain-py) >= 1.0.2 # Misc The example notebook (langchain/docs/extras/integrations/toolkits/ainetwork.ipynb) is in the PR --------- Co-authored-by: kriii <kriii@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Vanessa Arndorfer	1ea2f9adf4	Document AzureML Deployment Example (#9571 ) Description: Link an example of deploying a Langchain app to an AzureML online endpoint to the deployments documentation page. Co-authored-by: Vanessa Arndorfer <vaarndor@microsoft.com>	1 year ago
toddkim95	fba29f203a	Add to support polars (#9610 ) ### Description Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust. Polars is faster to read than pandas, so I'm looking forward to seeing it added to the document loader. ### Dependencies polars (https://pola-rs.github.io/polars-book/user-guide/) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Julien Salinas	4d0b7bb8e1	Remove Dolphin and GPT-J from the embeddings docs. These models are not proposed anymore.	1 year ago
Jeremy Suriel	0fa4516ce4	Fix typo (#9565 ) Corrected a minor documentation typo here: https://python.langchain.com/docs/modules/model_io/models/llms/#generate-batch-calls-richer-outputs	1 year ago
Jacob Lee	0fea987dd2	Add missing param to parent document retriever notebook (#9569 )	1 year ago
Zizhong Zhang	00eff8c4a7	feat: Add PromptGuard integration (#9481 ) Add PromptGuard integration ------- There are two approaches to integrate PromptGuard with a LangChain application. 1. PromptGuardLLMWrapper 2. functions that can be used in LangChain expression. ----- - Dependencies `promptguard` python package, which is a runtime requirement if you'd try out the demo. - @baskaryan @hwchase17 Thanks for the ideas and suggestions along the development process. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Oleksandr Ichenskyi	8bc1a3dca8	docs: Add memgraph notebook (#9448 ) - Description: added graph_memgraph_qa.ipynb which shows how to use LLMs to provide a natural language interface to a Memgraph database using [MemgraphGraph](https://github.com/langchain-ai/langchain/pull/8591) class. - Dependencies: given that the notebook utilizes the MemgraphGraph class, it relies on both this class and several Python packages that are installed in the notebook using pip (langchain, openai, neo4j, gqlalchemy). The notebook is dependent on having a functional Memgraph instance running, as it requires this instance to establish a connection.	1 year ago
Bagatur	d09cdb4880	update data connection -> retrieval (#9561 )	1 year ago
Matthew Zeiler	949b2cf177	Improvements to the Clarifai integration (#9290 ) - Improved docs - Improved performance in multiple ways through batching, threading, etc. - fixed error message - Added support for metadata filtering during similarity search. @baskaryan PTAL	1 year ago
ricki-epsilla	66a47d9a61	add Epsilla vectorstore (#9239 ) [Epsilla](https://github.com/epsilla-cloud/vectordb) vectordb is an open-source vector database that leverages the advanced academic parallel graph traversal techniques for vector indexing. This PR adds basic integration with [pyepsilla](https://github.com/epsilla-cloud/epsilla-python-client)(Epsilla vectordb python client) as a vectorstore. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	4999e8af7e	pin pydantic api ref build (#9556 )	1 year ago
axiangcoding	05aa02005b	feat(llms): support ERNIE Embedding-V1 (#9370 ) - Description: support [ERNIE Embedding-V1](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/alj562vvu), which is part of ERNIE ecology - Issue: None - Dependencies: None - Tag maintainer: @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago

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1823 Commits (2ab04a4e32d857d221f012a96b40b5549bdeadf1)