langchain

Commit Graph

Author	SHA1	Message	Date
Kirushikesh DB	47bd58dc11	docs: Added illustration of using RetryOutputParser with LLMChain (#16722 ) Description: Updated the retry.ipynb notebook, it contains the illustrations of RetryOutputParser in LangChain. But the notebook lacks to explain the compatibility of RetryOutputParser with existing chains. This changes adds some code to illustrate the workflow of using RetryOutputParser with the user chain. Changes: 1. Changed RetryWithErrorOutputParser with RetryOutputParser, as the markdown text says so. 2. Added code at the last of the notebook to define a chain which passes the LLM completions to the retry parser, which can be customised for user needs. Issue: Since RetryOutputParser/RetryWithErrorOutputParser does not implement the parse function it cannot be used with LLMChain directly like [this](https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser#prompttemplate-llm-outputparser). This also raised various issues #15133 #12175 #11719 still open, instead of adding new features/code changes its best to explain the "how to integrate LLMChain with retry parsers" clearly with an example in the corresponding notebook. Inspired from: https://github.com/langchain-ai/langchain/issues/15133#issuecomment-1868972580 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
Jael Gu	a1aa3a657c	community[patch]: Milvus supports add & delete texts by ids (#16256 ) # Description To support [langchain indexing](https://python.langchain.com/docs/modules/data_connection/indexing) as requested by users, vectorstore Milvus needs to support: - document addition by id (`add_documents` method with `ids` argument) - delete by id (`delete` method with `ids` argument) Example usage: ```python from langchain.indexes import SQLRecordManager, index from langchain.schema import Document from langchain_community.vectorstores import Milvus from langchain_openai import OpenAIEmbeddings collection_name = "test_index" embedding = OpenAIEmbeddings() vectorstore = Milvus(embedding_function=embedding, collection_name=collection_name) namespace = f"milvus/{collection_name}" record_manager = SQLRecordManager( namespace, db_url="sqlite:///record_manager_cache.sql" ) record_manager.create_schema() doc1 = Document(page_content="kitty", metadata={"source": "kitty.txt"}) doc2 = Document(page_content="doggy", metadata={"source": "doggy.txt"}) index( [doc1, doc1, doc2], record_manager, vectorstore, cleanup="incremental", # None, "incremental", or "full" source_id_key="source", ) ``` # Fix issues Fix https://github.com/milvus-io/milvus/issues/30112 --------- Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Abhinav	8e44363ec9	langchain_community: Update documentation for installing llama-cpp-python on windows (#16666 ) Description : This PR updates the documentation for installing llama-cpp-python on Windows. - Updates install command to support pyproject.toml - Makes CPU/GPU install instructions clearer - Adds reinstall with GPU support command Issue: Existing [documentation](https://python.langchain.com/docs/integrations/llms/llamacpp#compiling-and-installing) lists the following commands for installing llama-cpp-python ``` python setup.py clean python setup.py install ```` The current version of the repo does not include a `setup.py` and uses a `pyproject.toml` instead. This can be replaced with ``` python -m pip install -e . ``` As explained in https://github.com/abetlen/llama-cpp-python/issues/965#issuecomment-1837268339 Dependencies: None Twitter handle: None --------- Co-authored-by: blacksmithop <angstycoder101@gmaii.com>	7 months ago
Benito Geordie	f3fdc5c5da	community: Added integrations for ThirdAI's NeuralDB with Retriever and VectorStore frameworks (#15280 ) Description: Adds ThirdAI NeuralDB retriever and vectorstore integration. NeuralDB is a CPU-friendly and fine-tunable text retrieval engine.	7 months ago
Jonathan Bennion	815896ff13	langchain: pubmed tool path update in doc (#16716 ) - Description: The current pubmed tool documentation is referencing the path to langchain core not the path to the tool in community. The old tool redirects anyways, but for efficiency of using the more direct path, just adding this documentation so it references the new path - Issue: doesn't fix an issue - Dependencies: no dependencies - Twitter handle: rooftopzen	7 months ago
Lance Martin	1bfadecdd2	Update Slack agent toolkit (#16732 ) Co-authored-by: taimoOptTech <132860814+taimo3810@users.noreply.github.com>	7 months ago
Choi JaeHun	ba70630829	docs: Syntax correction according to langchain version update in 'Retry Parser' tutorial example (#16699 ) - Description: Syntax correction according to langchain version update in 'Retry Parser' tutorial example, - Issue: #16698 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
Bob Lin	0866a984fe	Update `n_gpu_layers`"s description (#16685 ) The `n_gpu_layers` parameter in `llama.cpp` supports the use of `-1`, which means to offload all layers to the GPU, so the document has been updated. Ref: `35918873b4/llama_cpp/server/settings.py (L29C22-L29C117)` `35918873b4/llama_cpp/llama.py (L125)`	7 months ago
Daniel Erenrich	0600998f38	community: Wikidata tool support (#16691 ) - Description: Adds Wikidata support to langchain. Can read out documents from Wikidata. - Issue: N/A - Dependencies: Adds implicit dependencies for `wikibase-rest-api-client` (for turning items into docs) and `mediawikiapi` (for hitting the search endpoint) - Twitter handle: @derenrich You can see an example of this tool used in a chain [here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Langchain.ipynb) or [here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Lars_Kai_Hansen.ipynb) <!-- Thank you for contributing to LangChain! 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago
Owen Sims	e451c8adc1	Community: Update Ionic Shopping Docs (#16700 ) - Description: Update to docs as originally introduced in https://github.com/langchain-ai/langchain/pull/16649 (reviewed by @baskaryan), - Twitter handle: [@ioniccommerce](https://twitter.com/ioniccommerce)	7 months ago
Yelin Zhang	bc7607a4e9	docs: remove iprogress warnings (#16697 ) - Description: removes iprogress warning texts from notebooks, resulting in a little nicer to read documentation	7 months ago
ARKA1112	3c387bc12d	docs: Error when importing packages from pydantic [docs] (#16564 ) URL : https://python.langchain.com/docs/use_cases/extraction Desc: <b> While the following statement executes successfully, it throws an error which is described below when we use the imported packages</b> ```py from pydantic import BaseModel, Field, validator ``` Code: ```python from langchain.output_parsers import PydanticOutputParser from langchain.prompts import ( PromptTemplate, ) from langchain_openai import OpenAI from pydantic import BaseModel, Field, validator # Define your desired data structure. class Joke(BaseModel): setup: str = Field(description="question to set up a joke") punchline: str = Field(description="answer to resolve the joke") # You can add custom validation logic easily with Pydantic. @validator("setup") def question_ends_with_question_mark(cls, field): if field[-1] != "?": raise ValueError("Badly formed question!") return field ``` Error: ```md PydanticUserError: The `field` and `config` parameters are not available in Pydantic V2, please use the `info` parameter instead. For further information visit https://errors.pydantic.dev/2.5/u/validator-field-config-info ``` Solution: Instead of doing: ```py from pydantic import BaseModel, Field, validator ``` We should do: ```py from langchain_core.pydantic_v1 import BaseModel, Field, validator ``` Thanks. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Leonid Ganeline	5e73603e8a	docs: `DeepInfra` provider page update (#16665 ) - added description, links - consistent formatting - added links to the example pages	8 months ago
Jarod Stewart	0bc397957b	docs: document Ionic Tool (#16649 ) - Description: Documentation for the Ionic Tool. A shopping assistant tool that effortlessly adds e-commerce capabilities to your Agent.	8 months ago
Seungwoo Ryu	570b4f8e66	docs: Update openai_tools.ipynb (#16618 ) typo	8 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.	8 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>	8 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>	8 months ago
Bagatur	61e876aad8	openai[patch]: Explicitly support embedding dimensions (#16596 )	8 months ago
Bagatur	6c89507988	docs: add rag citations page (#16549 )	8 months ago
Bagatur	db80832e4f	docs: output parser nits (#16588 )	8 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	8 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>	8 months ago
Bob Lin	35e60728b7	docs: Fix broken urls (#16559 )	8 months ago
Bob Lin	6023953ea7	docs: Fix github link (#16560 )	8 months ago
Erick Friis	adc008407e	exa: init pkg (#16553 )	8 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>	8 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	8 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>	8 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>	8 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	8 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	8 months ago
Erick Friis	8d299645f9	docs: rm output (#16519 )	8 months ago
Lance Martin	0b740ebd49	Update SQL agent toolkit docs (#16409 )	8 months ago
Francisco Ingham	13cf4594f4	docs: added a few suggestions for sql docs (#16508 )	8 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.	8 months ago
Tipwheal	66aafc0573	Docs: typo in tool use quick start page (#16494 ) Minor typo fix	8 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	8 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>	8 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>" ) ```	8 months ago
Eugene Yurtsev	d898d2f07b	docs: Fix version in which astream_events was released (#16481 ) Fix typo in version	8 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	8 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.	8 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>	8 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>	8 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>	8 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>	8 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	8 months ago
Eugene Yurtsev	39d1cbfecf	Docs: Document astream_events API (#16300 ) Document astream events API	8 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	8 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>	8 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.	8 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	8 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.	8 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.	8 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).	8 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	8 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>	8 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	8 months ago
Christophe Bornet	8da34118bc	docs: Add documentation for Cassandra Document Loader (#16282 )	8 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	8 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") ```	8 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	8 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>	8 months ago
Lance Martin	369e90d427	docs: Minor update to Robocorp toolkit docs (#16399 )	8 months ago
Hadi	a1c0cf21c9	docs: Update import library for StreamlitCallbackHandler (#16401 ) - Description: Some code sources have been moved from `langchain` to `langchain_community` and so the documentation is not yet up-to-date. This is specifically true for `StreamlitCallbackHandler` which returns a `warning` message if not loaded from `langchain_community`., - Issue: I don't see a # issue that could address this problem but perhaps #10744, - Dependencies: Since it's a documentation change no dependencies are required	8 months ago
JaguarDB	7ecd2f22ac	community[patch]: update documentation on jaguar vector store (#16346 ) - Description: update documentation on jaguar vector store: Instruction for setting up jaguar server and usage of text_tag. - Issue: - Dependencies: - Twitter handle: --------- Co-authored-by: JY <jyjy@jaguardb>	8 months ago
Iskren Ivov Chernev	fc196cab12	community[minor]: DeepInfra support for chat models (#16380 ) Add deepinfra chat models support. This is https://github.com/langchain-ai/langchain/pull/14234 re-opened from my branch (so maintainers can edit).	8 months ago
Bagatur	eac91b60c9	docs: qa rag nit (#16400 )	8 months ago
Bagatur	1dc6c1ce06	core[patch], community[patch], langchain[patch], docs: Update SQL chains/agents/docs (#16168 ) Revamp SQL use cases docs. In the process update SQL chains and agents.	8 months ago
Jatin Chawda	05162928c0	Docs: Fixed Urls of AsyncHtmlLoader, AsyncChromiumLoader and HTML2Text links in Web scraping Docs (#16365 ) Fixing links in documentation.	8 months ago
Christophe Bornet	f9be877ed7	Docs: Add self-querying retriever and store to AstraDB provider doc (#16362 ) Add self-querying retriever and store to AstraDB provider doc	8 months ago
Mateusz Szewczyk	076dbb1a8f	docs: IBM watsonx.ai Use `invoke` instead of `__call__` (#16371 ) - Description: Updating documentation of IBM [watsonx.ai](https://www.ibm.com/products/watsonx-ai) LLM with using `invoke` instead of `__call__` - Dependencies: [ibm-watsonx-ai](https://pypi.org/project/ibm-watsonx-ai/), - Tag maintainer: : Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. ✅ The following warning information show when i use `run` and `__call__` method: ``` LangChainDeprecationWarning: The function `__call__` was deprecated in LangChain 0.1.7 and will be removed in 0.2.0. Use invoke instead. warn_deprecated( ``` We need to update documentation for using `invoke` method	8 months ago
Bob Lin	c6bd7778b0	Use `invoke` instead of `__call__` (#16369 ) The following warning information will be displayed when i use `llm(PROMPT)`: ```python /Users/169/llama.cpp/venv/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The function `__call__` was deprecated in LangChain 0.1.7 and will be removed in 0.2.0. Use invoke instead. warn_deprecated( ``` So I changed to standard usage.	8 months ago
Virat Singh	c2a614eddc	community: Add PolygonLastQuote Tool and Toolkit (#15990 ) Description: In this PR, I am adding a `PolygonLastQuote` Tool, which can be used to get the latest price quote for a given ticker / stock. Additionally, I've added a Polygon Toolkit, which we can use to encapsulate future tools that we build for Polygon. Twitter handle: [@virattt](https://twitter.com/virattt) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Bagatur	1e29b676d5	core[patch]: simple fallback streaming (#16055 )	8 months ago
Hamza Kyamanywa	39b3c6d94c	langchain[patch]: Add konlpy based text splitting for Korean (#16003 ) - Description: Adds a text splitter based on [Konlpy](https://konlpy.org/en/latest/#start) which is a Python package for natural language processing (NLP) of the Korean language. (It is like Spacy or NLTK for Korean) - Dependencies: Konlpy would have to be installed before this splitter is used, - Twitter handle: @untilhamza	8 months ago
Hongyu Lin	9b0a531aa2	doc: Fix small typo in quickstart (#16164 ) - Description: fix small typo in quickstart --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Lance Martin	881d1c3ec5	Update MultiON toolkit docs (#16286 )	8 months ago
Bagatur	6f7a414955	docs: fix links (#16284 )	8 months ago
Lance Martin	f63906a9c2	Test and update MultiON agent toolkit docs (#16235 )	8 months ago
Ashley Xu	0f99646ca6	docs: add the enrollment form for`BigQueryVectorSearch` (#16240 ) This PR adds the enrollment form for BigQueryVectorSearch.	8 months ago
Eugene Yurtsev	177af65dc4	core[minor]: RFC Add astream_events to Runnables (#16172 ) This PR adds `astream_events` method to Runnables to make it easier to stream data from arbitrary chains. * Streaming only works properly in async right now * One should use `astream()` with if mixing in imperative code as might be done with tool implementations * Astream_log has been modified with minimal additive changes, so no breaking changes are expected * Underlying callback code / tracing code should be refactored at some point to handle things more consistently (OK for now) - ~~[ ] verify event for on_retry~~ does not work until we implement streaming for retry - ~~[ ] Any rrenaming? Should we rename "event" to "hook"?~~ - [ ] Any other feedback from community? - [x] throw NotImplementedError for `RunnableEach` for now ## Example See this [Example Notebook](`dbbc7fa0d6/docs/docs/modules/agents/how_to/streaming_events.ipynb`) for an example with streaming in the context of an Agent ## Event Hooks Reference Here is a reference table that shows some events that might be emitted by the various Runnable objects. Definitions for some of the Runnable are included after the table. \| event \| name \| chunk \| input \| output \| \|----------------------\|------------------\|---------------------------------\|-----------------------------------------------\|-------------------------------------------------\| \| on_chat_model_start \| [model name] \| \| {"messages": [[SystemMessage, HumanMessage]]} \| \| \| on_chat_model_stream \| [model name] \| AIMessageChunk(content="hello") \| \| \| \| on_chat_model_end \| [model name] \| \| {"messages": [[SystemMessage, HumanMessage]]} \| {"generations": [...], "llm_output": None, ...} \| \| on_llm_start \| [model name] \| \| {'input': 'hello'} \| \| \| on_llm_stream \| [model name] \| 'Hello' \| \| \| \| on_llm_end \| [model name] \| \| 'Hello human!' \| \| on_chain_start \| format_docs \| \| \| \| \| on_chain_stream \| format_docs \| "hello world!, goodbye world!" \| \| \| \| on_chain_end \| format_docs \| \| [Document(...)] \| "hello world!, goodbye world!" \| \| on_tool_start \| some_tool \| \| {"x": 1, "y": "2"} \| \| \| on_tool_stream \| some_tool \| {"x": 1, "y": "2"} \| \| \| \| on_tool_end \| some_tool \| \| \| {"x": 1, "y": "2"} \| \| on_retriever_start \| [retriever name] \| \| {"query": "hello"} \| \| \| on_retriever_chunk \| [retriever name] \| {documents: [...]} \| \| \| \| on_retriever_end \| [retriever name] \| \| {"query": "hello"} \| {documents: [...]} \| \| on_prompt_start \| [template_name] \| \| {"question": "hello"} \| \| \| on_prompt_end \| [template_name] \| \| {"question": "hello"} \| ChatPromptValue(messages: [SystemMessage, ...]) \| Here are declarations associated with the events shown above: `format_docs`: ```python def format_docs(docs: List[Document]) -> str: '''Format the docs.''' return ", ".join([doc.page_content for doc in docs]) format_docs = RunnableLambda(format_docs) ``` `some_tool`: ```python @tool def some_tool(x: int, y: str) -> dict: '''Some_tool.''' return {"x": x, "y": y} ``` `prompt`: ```python template = ChatPromptTemplate.from_messages( [("system", "You are Cat Agent 007"), ("human", "{question}")] ).with_config({"run_name": "my_template", "tags": ["my_template"]}) ```	8 months ago
Erick Friis	aa35b43bcd	docs, google-vertex[patch]: function docs (#16231 )	8 months ago
Erick Friis	f2b2d59e82	docs: transport and client options docs (#16226 ) <!-- 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: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Rajesh Thallam	6bc6d64a12	langchain_google_vertexai[patch]: Add support for SystemMessage for Gemini chat model (#15933 ) - Description: In Google Vertex AI, Gemini Chat models currently doesn't have a support for SystemMessage. This PR adds support for it only if a user provides additional convert_system_message_to_human flag during model initialization (in this case, SystemMessage would be prepended to the first HumanMessage). NOTE: The implementation is similar to #14824 - Twitter handle: rajesh_thallam --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
jzaldi	ed118950fe	docs: Updated integration docs structure for llm/google_vertex_ai_palm (#16091 ) - Description: Updated doc for llm/google_vertex_ai_palm with new functions: `invoke`, `stream`... Changed structure of the document to match the required one. - Issue: #15664 - Dependencies: None - Twitter handle: None --------- Co-authored-by: Jorge Zaldívar <jzaldivar@google.com>	8 months ago
Bagatur	aa2e642ce3	docs: tool use nits (#16211 )	8 months ago
Eugene Zapolsky	6b9e3ed9e9	google-vertexai[minor]: added safety_settings property to gemini wrapper (#15344 ) Description: Gemini model has quite annoying default safety_settings settings. In addition, current VertexAI class doesn't provide a property to override such settings. So, this PR aims to - add safety_settings property to VertexAI - fix issue with incorrect LLM output parsing when LLM responds with appropriate 'blocked' response - fix issue with incorrect parsing LLM output when Gemini API blocks prompt itself as inappropriate - add safety_settings related tests I'm not enough familiar with langchain code base and guidelines. So, any comments and/or suggestions are very welcome. Issue: it will likely fix #14841 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Bagatur	27ad65cc68	docs: add tool use diagrams (#16207 )	8 months ago
Bagatur	27ed2673da	docs: model io order (#16163 )	8 months ago
Bagatur	2af813c7eb	docs: bump sphinx>=5 (#16162 )	8 months ago
David DeCaprio	ec9642d667	docs: Updated MongoDB Chat history example notebook to use LCEL format. (#15750 ) - Description: Updated the MongoDB example integration notebook to latest standards - Issue: [15664](https://github.com/langchain-ai/langchain/issues/15664) - Dependencies: None - Twitter handle: @davedecaprio --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Bagatur	e7ddec1f2c	docs: change parallel doc name (#16152 )	8 months ago
Joshua Carroll	bc0cb1148a	docs: Fix StreamlitChatMessageHistory docs to latest API (#16072 ) - Description: Update [this page](https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history) to use the latest API - Issue: https://github.com/langchain-ai/langchain/issues/13995 - Dependencies: None - Twitter handle: @OhSynap	8 months ago
David DeCaprio	9c2f1f07a0	docs: Updated SQLite example to use LCEL and SQLChatMessageHistory (#16094 ) - Description: Updated the SQLite example integration notebook to latest standards - Issue: [15664](https://github.com/langchain-ai/langchain/issues/15664) - Dependencies: None - Twitter handle: @davedecaprio	8 months ago
Abhinav	da96c511d1	docs: Replace azure_cosmos_db_vector_search with azure_cosmos_db in Cosmos DB Documentation (#16122 ) Description: This PR fixes an error in the documentation for Azure Cosmos DB Integration. Issue: The correct way to import `AzureCosmosDBVectorSearch` is ```python from langchain_community.vectorstores.azure_cosmos_db import ( AzureCosmosDBVectorSearch, ) ``` While the [documentation](https://python.langchain.com/docs/integrations/vectorstores/azure_cosmos_db) states it to be ```python from langchain_community.vectorstores.azure_cosmos_db_vector_search import ( AzureCosmosDBVectorSearch, CosmosDBSimilarityType, ) ``` As you can see in [azure_cosmos_db.py](`c323742f4f/libs/langchain/langchain/vectorstores/azure_cosmos_db.py (L1C45-L2)`) Dependencies:: None Twitter handle: None	8 months ago
purificant	3606c5d5e9	infra: update poetry 1.6.1 -> 1.7.1 (#15027 )	8 months ago
Ikko Eltociear Ashimine	a35e5f19a8	docs: Update gradient.ipynb (#16149 ) Enviroment -> Environment	8 months ago
David	c323742f4f	mistralai[minor]: Add embeddings (#15282 ) - Description: Adds MistralAIEmbeddings class for embeddings, using the new official API. - Dependencies: mistralai - Tag maintainer: @efriis, @hwchase17 - Twitter handle: @LMS_David_RS Create `integrations/text_embedding/mistralai.ipynb`: an example notebook for MistralAIEmbeddings class Modify `embeddings/__init__.py`: Import the class Create `embeddings/mistralai.py`: The embedding class Create `integration_tests/embeddings/test_mistralai.py`: The test file. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago

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