2895 Commits (52ccae3fb12a77b638b4e3467bef1b6ef50591ef)

Author	SHA1	Message	Date
Seungwoo Ryu	570b4f8e66	docs: Update openai_tools.ipynb (#16618) ... typo	5 months ago
Callum	6a75ef74ca	docs: Fix typo in XML agent documentation (#16645) ... This is a tiny PR that just replacer "moduels" with "modules" in the documentation for XML agents.	5 months ago
baichuan-assistant	70ff54eace	community[minor]: Add Baichuan Text Embedding Model and Baichuan Inc introduction (#16568) ... - **Description:** Adding Baichuan Text Embedding Model and Baichuan Inc introduction. Baichuan Text Embedding ranks #1 in C-MTEB leaderboard: https://huggingface.co/spaces/mteb/leaderboard Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	5 months ago
Ghani	e30c6662df	Langchain-community : EdenAI chat integration. (#16377) ... - **Description:** This PR adds [EdenAI](https://edenai.co/) for the chat model (already available in LLM & Embeddings). It supports all [ChatModel] functionality: generate, async generate, stream, astream and batch. A detailed notebook was added. - **Dependencies**: No dependencies are added as we call a rest API. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Bagatur	61e876aad8	openai[patch]: Explicitly support embedding dimensions (#16596)	5 months ago
Bagatur	6c89507988	docs: add rag citations page (#16549)	5 months ago
Bagatur	db80832e4f	docs: output parser nits (#16588)	5 months ago
Bagatur	ef42d9d559	core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485) ... … converters One way to convert anything to an OAI function: convert_to_openai_function One way to convert anything to an OAI tool: convert_to_openai_tool Corresponding bind functions on OAI models: bind_functions, bind_tools	5 months ago
Brian Burgin	148347e858	community[minor]: Add LiteLLM Router Integration (#15588) ... community: - **Description:** - Add new ChatLiteLLMRouter class that allows a client to use a LiteLLM Router as a LangChain chat model. - Note: The existing ChatLiteLLM integration did not cover the LiteLLM Router class. - Add tests and Jupyter notebook. - **Issue:** None - **Dependencies:** Relies on existing ChatLiteLLM integration - **Twitter handle:** @bburgin_0 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Bob Lin	35e60728b7	docs: Fix broken urls (#16559)	5 months ago
Bob Lin	6023953ea7	docs: Fix github link (#16560)	5 months ago
Erick Friis	adc008407e	exa: init pkg (#16553)	5 months ago
Rave Harpaz	c4e9c9ca29	community[minor]: Add OCI Generative AI integration (#16548) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** Adding Oracle Cloud Infrastructure Generative AI integration. Oracle Cloud Infrastructure (OCI) Generative AI is a fully managed service that provides a set of state-of-the-art, customizable large language models (LLMs) that cover a wide range of use cases, and which is available through a single API. Using the OCI Generative AI service you can access ready-to-use pretrained models, or create and host your own fine-tuned custom models based on your own data on dedicated AI clusters. https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm - **Issue:** None, - **Dependencies:** OCI Python SDK, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. Passed See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. It lives in `docs/docs/integrations` directory. we provide unit tests. However, we cannot provide integration tests due to Oracle policies that prohibit public sharing of api keys.   If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Leonid Ganeline	f6a05e964b	docs: `Hugging Face` update (#16490) ... - added missed integrations to the platform page - updated integration examples: added links and fixed formats	5 months ago
Harel Gal	a91181fe6d	community[minor]: add support for Guardrails for Amazon Bedrock (#15099) ... Added support for optionally supplying 'Guardrails for Amazon Bedrock' on both types of model invocations (batch/regular and streaming) and for all models supported by the Amazon Bedrock service. @baskaryan @hwchase17 ```python llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, guardrails={"id": " <guardrail_id>", "version": "<guardrail_version>", "trace": True}, callbacks=[BedrockAsyncCallbackHandler()]) class BedrockAsyncCallbackHandler(AsyncCallbackHandler): """Async callback handler that can be used to handle callbacks from langchain.""" async def on_llm_error( self, error: BaseException, **kwargs: Any, ) -> Any: reason = kwargs.get("reason") if reason == "GUARDRAIL_INTERVENED": # kwargs contains additional trace information sent by 'Guardrails for Bedrock' service. print(f"""Guardrails: {kwargs}""") # streaming llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, streaming=True, guardrails={"id": "<guardrail_id>", "version": "<guardrail_version>"}) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Martin Kolb	04651f0248	community[minor]: VectorStore integration for SAP HANA Cloud Vector Engine (#16514) ... - **Description:** This PR adds a VectorStore integration for SAP HANA Cloud Vector Engine, which is an upcoming feature in the SAP HANA Cloud database (https://blogs.sap.com/2023/11/02/sap-hana-clouds-vector-engine-announcement/). - **Issue:** N/A - **Dependencies:** [SAP HANA Python Client](https://pypi.org/project/hdbcli/) - **Twitter handle:** @sapopensource Implementation of the integration: `libs/community/langchain_community/vectorstores/hanavector.py` Unit tests: `libs/community/tests/unit_tests/vectorstores/test_hanavector.py` Integration tests: `libs/community/tests/integration_tests/vectorstores/test_hanavector.py` Example notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb` Access credentials for execution of the integration tests can be provided to the maintainers. --------- Co-authored-by: sascha <sascha.stoll@sap.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Bob Lin	54dd8e52a8	docs: Updated comments about `n_gpu_layers` in the Metal section (#16501) ... Ref: https://github.com/langchain-ai/langchain/issues/16502	5 months ago
Anastasiia Manokhina	ce595f0203	docs:Updated integration docs structure for chat/google_vertex_ai_palm (#16201) ... Description: - checked that the doc chat/google_vertex_ai_palm is using new functions: invoke, stream etc. - added Gemini example - fixed wrong output in Sanskrit example Issue: https://github.com/langchain-ai/langchain/issues/15664 Dependencies: None Twitter handle: None	6 months ago
Erick Friis	8d299645f9	docs: rm output (#16519)	6 months ago
Lance Martin	0b740ebd49	Update SQL agent toolkit docs (#16409)	6 months ago
Francisco Ingham	13cf4594f4	docs: added a few suggestions for sql docs (#16508)	6 months ago
Eugene Yurtsev	6004e9706f	Docs: Add streaming section (#16468) ... Adds a streaming section to LangChain documentation, explaining `stream`/`astream` API and `astream_events` API.	6 months ago
Tipwheal	66aafc0573	Docs: typo in tool use quick start page (#16494) ... Minor typo fix	6 months ago
BeatrixCohere	2b2285dac0	docs: Update cohere rerank and comparison docs (#16198) ... - **Description:** Update the cohere rerank docs to use cohere embeddings - **Issue:** n/a - **Dependencies:** n/a - **Twitter handle:** n/a	6 months ago
Raunak	476bf8b763	community[patch]: Load list of files using UnstructuredFileLoader (#16216) ... - **Description:** Updated `_get_elements()` function of `UnstructuredFileLoader `class to check if the argument self.file_path is a file or list of files. If it is a list of files then it iterates over the list of file paths, calls the partition function for each one, and appends the results to the elements list. If self.file_path is not a list, it calls the partition function as before. - **Issue:** Fixed #15607, - **Dependencies:** NA - **Twitter handle:** NA Co-authored-by: H161961 <Raunak.Raunak@Honeywell.com>	6 months ago
Xudong Sun	019b6ebe8d	community[minor]: Add iFlyTek Spark LLM chat model support (#13389) ... - **Description:** This PR enables LangChain to access the iFlyTek's Spark LLM via the chat_models wrapper. - **Dependencies:** websocket-client ^1.6.1 - **Tag maintainer:** @baskaryan ### SparkLLM chat model usage Get SparkLLM's app_id, api_key and api_secret from [iFlyTek SparkLLM API Console](https://console.xfyun.cn/services/bm3) (for more info, see [iFlyTek SparkLLM Intro](https://xinghuo.xfyun.cn/sparkapi) ), then set environment variables `IFLYTEK_SPARK_APP_ID`, `IFLYTEK_SPARK_API_KEY` and `IFLYTEK_SPARK_API_SECRET` or pass parameters when using it like the demo below: ```python3 from langchain.chat_models.sparkllm import ChatSparkLLM client = ChatSparkLLM( spark_app_id="<app_id>", spark_api_key="<api_key>", spark_api_secret="<api_secret>" ) ```	6 months ago
Eugene Yurtsev	d898d2f07b	docs: Fix version in which astream_events was released (#16481) ... Fix typo in version	6 months ago
bu2kx	ff3163297b	community[minor]: Add KDBAI vector store (#12797) ... Addition of KDBAI vector store (https://kdb.ai). Dependencies: `kdbai_client` v0.1.2 Python package. Sample notebook: `docs/docs/integrations/vectorstores/kdbai.ipynb` Tag maintainer: @bu2kx Twitter handle: @kxsystems	6 months ago
JongRok BAEK	4ec3fe4680	docs: Updated integration docs structure for chat/anthropic (#16268) ... Description: - Added output and environment variables - Updated the documentation for chat/anthropic, changing references from `langchain.schema` to `langchain_core.prompts`. Issue: https://github.com/langchain-ai/langchain/issues/15664 Dependencies: None Twitter handle: None Since this is my first open-source PR, please feel free to point out any mistakes, and I'll be eager to make corrections.	6 months ago
Shivani Modi	4e160540ff	community[minor]: Adding Konko Completion endpoint (#15570) ... This PR introduces update to Konko Integration with LangChain. 1. **New Endpoint Addition**: Integration of a new endpoint to utilize completion models hosted on Konko. 2. **Chat Model Updates for Backward Compatibility**: We have updated the chat models to ensure backward compatibility with previous OpenAI versions. 4. **Updated Documentation**: Comprehensive documentation has been updated to reflect these new changes, providing clear guidance on utilizing the new features and ensuring seamless integration. Thank you to the LangChain team for their exceptional work and for considering this PR. Please let me know if any additional information is needed. --------- Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MacBook-Pro.local> Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MBP.lan>	6 months ago
Facundo Santiago	92e6a641fd	feat: adding paygo api support for Azure ML / Azure AI Studio (#14560) ... - **Description:** Introducing support for LLMs and Chat models running in Azure AI studio and Azure ML using the new deployment mode pay-as-you-go (model as a service). - **Issue:** NA - **Dependencies:** None. - **Tag maintainer:** @prakharg-msft @gdyre - **Twitter handle:** @santiagofacundo Examples added: * [docs/docs/integrations/llms/azure_ml.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_endpoint.ipynb) * [docs/docs/integrations/chat/azureml_chat_endpoint.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_chat_endpoint.ipynb) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	6 months ago
baichuan-assistant	20fcd49348	community: Fix Baichuan Chat. (#15207) ... - **Description:** Baichuan Chat (with both Baichuan-Turbo and Baichuan-Turbo-192K models) has updated their APIs. There are breaking changes. For example, BAICHUAN_SECRET_KEY is removed in the latest API but is still required in Langchain. Baichuan's Langchain integration needs to be updated to the latest version. - **Issue:** #15206 - **Dependencies:** None, - **Twitter handle:** None @hwchase17. Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	6 months ago
gcheron	cfc225ecb3	community: SQLStrStore/SQLDocStore provide an easy SQL alternative to `InMemoryStore` to persist data remotely in a SQL storage (#15909) ... **Description:** - Implement `SQLStrStore` and `SQLDocStore` classes that inherits from `BaseStore` to allow to persist data remotely on a SQL server. - SQL is widely used and sometimes we do not want to install a caching solution like Redis. - Multiple issues/comments complain that there is no easy remote and persistent solution that are not in memory (users want to replace InMemoryStore), e.g., https://github.com/langchain-ai/langchain/issues/14267, https://github.com/langchain-ai/langchain/issues/15633, https://github.com/langchain-ai/langchain/issues/14643, https://stackoverflow.com/questions/77385587/persist-parentdocumentretriever-of-langchain - This is particularly painful when wanting to use `ParentDocumentRetriever ` - This implementation is particularly useful when: * it's expensive to construct an InMemoryDocstore/dict * you want to retrieve documents from remote sources * you just want to reuse existing objects - This implementation integrates well with PGVector, indeed, when using PGVector, you already have a SQL instance running. `SQLDocStore` is a convenient way of using this instance to store documents associated to vectors. An integration example with ParentDocumentRetriever and PGVector is provided in docs/docs/integrations/stores/sql.ipynb or [here](https://github.com/gcheron/langchain/blob/sql-store/docs/docs/integrations/stores/sql.ipynb). - It persists `str` and `Document` objects but can be easily extended. **Issue:** Provide an easy SQL alternative to `InMemoryStore`. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	6 months ago
dudgeon	26b2ad6d5b	Fixed typo on quickstart.ipynb (#16482) ... - **Description:** Quick typo fix: `inpect` >> `inspect` - **Issue:** N/A - **Dependencies:** any dependencies required for this change, - **Twitter handle:** @geoffdudgeon	6 months ago
Eugene Yurtsev	39d1cbfecf	Docs: Document astream_events API (#16300) ... Document astream events API	6 months ago
Florian MOREL	4b7969efc5	community[minor]: New documents loader for visio files (with extension .vsdx) (#16171) ... **Description** : New documents loader for visio files (with extension .vsdx) A [visio file](https://fr.wikipedia.org/wiki/Microsoft_Visio) (with extension .vsdx) is associated with Microsoft Visio, a diagram creation software. It stores information about the structure, layout, and graphical elements of a diagram. This format facilitates the creation and sharing of visualizations in areas such as business, engineering, and computer science. A Visio file can contain multiple pages. Some of them may serve as the background for others, and this can occur across multiple layers. This loader extracts the textual content from each page and its associated pages, enabling the extraction of all visible text from each page, similar to what an OCR algorithm would do. **Dependencies** : xmltodict package	6 months ago
KhoPhi	fb41b68ea1	docs: Update with LCEL examples to Ollama & ChatOllama Integration notebook (#16194) ... - **Description:** Updated the Chat/Ollama docs notebook with LCEL chain examples - **Issue:** #15664 I'm a new contributor 😊 - **Dependencies:** No dependencies - **Twitter handle:** Comments: - How do I truncate the output of the stream in the notebook if and or when it goes on and on and on for even the basic of prompts? Edit: Looking forward to feedback @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Michael Gorham	3b0226b2c6	docs: Update redis_chat_message_history.ipynb (#16344) ... ## Problem Spent several hours trying to figure out how to pass `RedisChatMessageHistory` as a `GetSessionHistoryCallable` with a different REDIS hostname. This example kept connecting to `redis://localhost:6379`, but I wanted to connect to a server not hosted locally. ## Cause Assumption the user knows how to implement `BaseChatMessageHistory` and `GetSessionHistoryCallable` ## Solution Update documentation to show how to explicitly set the REDIS hostname using a lambda function much like the MongoDB and SQLite examples.	6 months ago
Ian	c98994c3c9	docs: Improve notebook to show how to use tidb to store history messages (#16420) ... After merging [PR #16304](https://github.com/langchain-ai/langchain/pull/16304), I realized that our notebook example for integrating TiDB with LangChain was too basic. To make it more useful and user-friendly, I plan to create a detailed example. This will show how to use TiDB for saving history messages in LangChain, offering a clearer, more practical guide for our users	6 months ago
Eugene Yurtsev	c88750d54b	Docs: Agent streaming notebooks (#15858) ... Update information about streaming in the agents section. Show how to use astream_events to get token by token streaming.	6 months ago
Eugene Yurtsev	e5672bc944	docs: Re-write custom agent to show to write a tools agent (#15907) ... Shows how to write a tools agent rather than a functions agent.	6 months ago
Boris Feld	404abf139a	community: Add CometLLM tracing context var (#15765) ... I also added LANGCHAIN_COMET_TRACING to enable the CometLLM tracing integration similar to other tracing integrations. This is easier for end-users to enable it rather than importing the callback and pass it manually. (This is the same content as https://github.com/langchain-ai/langchain/pull/14650 but rebased and squashed as something seems to confuse Github Action).	6 months ago
Jennifer Melot	d6275e47f2	docs: Updated integration docs structure for tools/arxiv (#16091) (#16250) ... - **Description:** Updated docs for tools/arxiv to use `AgentExecutor` and `invoke` - **Issue:** #15664 - **Dependencies:** None - **Twitter handle:** None	6 months ago
ChengZi	a950fa0487	docs: add milvus multitenancy doc (#16177) ... - **Description:** add milvus multitenancy doc, it is an example for this [pr](https://github.com/langchain-ai/langchain/pull/15740) . - **Issue:** No, - **Dependencies:** No, - **Twitter handle:** No Signed-off-by: ChengZi <chen.zhang@zilliz.com>	6 months ago
parkererickson-tg	b26a22f307	community[minor]: add TigerGraph support (#16280) ... **Description:** Add support for querying TigerGraph databases through the InquiryAI service. **Issue**: N/A **Dependencies:** N/A **Twitter handle:** @TigerGraphDB	6 months ago
Christophe Bornet	8da34118bc	docs: Add documentation for Cassandra Document Loader (#16282)	6 months ago
Jonathan Algar	774e543e1f	docs: fix formatting issue in rockset.ipynb (#16328) ... **Description:** randomly discovered while working on another PR https://github.com/quarto-dev/quarto-cli/discussions/8131#discussioncomment-8027706 @anubhav94N ICYI	6 months ago
Ian	b9f5104e6c	communty[minor]: Store Message History to TiDB Database (#16304) ... This pull request integrates the TiDB database into LangChain for storing message history, marking one of several steps towards a comprehensive integration of TiDB with LangChain. A simple usage ```python from datetime import datetime from langchain_community.chat_message_histories import TiDBChatMessageHistory history = TiDBChatMessageHistory( connection_string="mysql+pymysql://<host>:<PASSWORD>@<host>:4000/<db>?ssl_ca=/etc/ssl/cert.pem&ssl_verify_cert=true&ssl_verify_identity=true", session_id="code_gen", earliest_time=datetime.utcnow(), # Optional to set earliest_time to load messages after this time point. ) history.add_user_message("hi! How's feature going?") history.add_ai_message("It's almot done") ```	6 months ago
Sarthak Chaure	dd5b8107b1	Docs: Updated callbacks/index.mdx (#16404) ... The callbacks get started demo code was updated , replacing the chain.run() command ( which is now depricated) ,with the updated chain.invoke() command. Solving the following issue : #16379 Twitter/X : @Hazxhx	6 months ago
Omar-aly	873de14cd8	docs: update vectorstores/llm_rails integration doc (#16199) ... Description: - Updated the docs for the vectorstores integration module llm_rails.ipynb Issue: - [Connected to Issue #15664](https://github.com/langchain-ai/langchain/issues/15664) Dependencies: - N/A Co-authored-by: omaraly23 <112936089+omaraly22@users.noreply.github.com>	6 months ago