langchain

Commit Graph

Author	SHA1	Message	Date
IMRAN KHAN	4b17699818	docs: add 2 more tutorials to the list in youtube.mdx (#16998 ) - Description: add 2 more tutorials to the list in youtube.mdx, - Twitter handle: EhThing	7 months ago
Supreet Takkar	ae33979813	community[patch]: Allow adding ARNs as model_id to support Amazon Bedrock custom models (#16800 ) - Description: Adds an additional class variable to `BedrockBase` called `provider` that allows sending a model provider such as amazon, cohere, ai21, etc. Up until now, the model provider is extracted from the `model_id` using the first part before the `.`, such as `amazon` for `amazon.titan-text-express-v1` (see [supported list of Bedrock model IDs here](https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids-arns.html)). But for custom Bedrock models where the ARN of the provisioned throughput must be supplied, the `model_id` is like `arn:aws:bedrock:...` so the `model_id` cannot be extracted from this. A model `provider` is required by the LangChain Bedrock class to perform model-based processing. To allow the same processing to be performed for custom-models of a specific base model type, passing this `provider` argument can help solve the issues. The alternative considered here was the use of `provider.arn:aws:bedrock:...` which then requires ARN to be extracted and passed separately when invoking the model. The proposed solution here is simpler and also does not cause issues for current models already using the Bedrock class. - Issue: N/A - Dependencies: N/A --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	7 months ago
Vadim Kudlay	75b6fa1134	nvidia-ai-endpoints[patch]: Support User-Agent metadata and minor fixes. (#16942 ) - Description: Several meta/usability updates, including User-Agent. - Issue: - User-Agent metadata for tracking connector engagement. @milesial please check and advise. - Better error messages. Tries harder to find a request ID. @milesial requested. - Client-side image resizing for multimodal models. Hope to upgrade to Assets API solution in around a month. - `client.payload_fn` allows you to modify payload before network request. Use-case shown in doc notebook for kosmos_2. - `client.last_inputs` put back in to allow for advanced support/debugging. - Dependencies: - Attempts to pull in PIL for image resizing. If not installed, prints out "please install" message, warns it might fail, and then tries without resizing. We are waiting on a more permanent solution. For LC viz: @hinthornw For NV viz: @fciannella @milesial @vinaybagade --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	6ffd5b15bc	pinecone: init pkg (#16556 ) <!-- 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. -->	7 months ago
Erick Friis	db6af21395	docs: exa contents (#16555 )	7 months ago
Nicolas Grenié	54fcd476bb	docs: Update ollama examples with new community libraries (#17007 ) - Description: Updating one line code sample for Ollama with new langchain_community package - Issue: - Dependencies: none - Twitter handle: @picsoung	7 months ago
Erick Friis	afdd636999	docs: partner packages (#16960 )	7 months ago
Ashley Xu	66adb95284	docs: BigQuery Vector Search went public review and updated docs (#16896 ) Update the docs for BigQuery Vector Search	7 months ago
Massimiliano Pronesti	71f9ea33b6	docs: add quantization to vllm and update API (#16950 ) - Description: Update vLLM docs to include instructions on how to use quantized models, as well as to replace the deprecated methods.	7 months ago
Radhakrishnan	3b0fa9079d	docs: Updated integration doc for aleph alpha (#16844 ) Description: Updated doc for llm/aleph_alpha with new functions: invoke. Changed structure of the document to match the required one. Issue: https://github.com/langchain-ai/langchain/issues/15664 Dependencies: None Twitter handle: None --------- Co-authored-by: Radhakrishnan Iyer <radhakrishnan.iyer@ibm.com>	7 months ago
Erick Friis	6fc2835255	docs: fix broken links (#16855 )	7 months ago
Erick Friis	b1a847366c	community: revert SQL Stores (#16912 ) This reverts commit `cfc225ecb3`. https://github.com/langchain-ai/langchain/pull/15909#issuecomment-1922418097 These will have existed in langchain-community 0.0.16 and 0.0.17.	7 months ago
akira wu	f7c709b40e	doc: fix typo in message_history.ipynb (#16877 ) - Description: just fixed a small typo in the documentation in the `expression_language/how_to/message_history` session [here](https://python.langchain.com/docs/expression_language/how_to/message_history)	7 months ago
Shorthills AI	0bca0f4c24	Docs: Fixed grammatical mistake (#16858 ) Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com> Co-authored-by: Sanskar Tanwar <142409040+SanskarTanwarShorthillsAI@users.noreply.github.com> Co-authored-by: UpneetShorthillsAI <144228282+UpneetShorthillsAI@users.noreply.github.com> Co-authored-by: HarshGuptaShorthillsAI <144897987+HarshGuptaShorthillsAI@users.noreply.github.com> Co-authored-by: AdityaKalraShorthillsAI <143726711+AdityaKalraShorthillsAI@users.noreply.github.com> Co-authored-by: SakshiShorthillsAI <144228183+SakshiShorthillsAI@users.noreply.github.com> Co-authored-by: AashiGuptaShorthillsAI <144897730+AashiGuptaShorthillsAI@users.noreply.github.com> Co-authored-by: ShamshadAhmedShorthillsAI <144897733+ShamshadAhmedShorthillsAI@users.noreply.github.com> Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com> Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com> Co-authored-by: BajrangBishnoiShorthillsAi <148060486+BajrangBishnoiShorthillsAi@users.noreply.github.com>	7 months ago
Harel Gal	93366861c7	docs: Indicated Guardrails for Amazon Bedrock preview status (#16769 ) Added notification about limited preview status of Guardrails for Amazon Bedrock feature to code example. --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	7 months ago
Erick Friis	17e886388b	nomic: init pkg (#16853 ) Co-authored-by: Lance Martin <lance@langchain.dev>	8 months ago
Bagatur	b0347f3e2b	docs: add csv use case (#16756 )	8 months ago
Jacob Lee	c6724a39f4	Fix rephrase step in chatbot use case (#16763 )	8 months ago
Bob Lin	546b757303	community: Add ChatGLM3 (#15265 ) Add [ChatGLM3](https://github.com/THUDM/ChatGLM3) and updated [chatglm.ipynb](https://python.langchain.com/docs/integrations/llms/chatglm) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Marina Pliusnina	a1ce7ab672	adding parameter for changing the language in SpacyEmbeddings (#15743 ) Description: Added the parameter for a possibility to change a language model in SpacyEmbeddings. The default value is still the same: "en_core_web_sm", so it shouldn't affect a code which previously did not specify this parameter, but it is not hard-coded anymore and easy to change in case you want to use it with other languages or models. Issue: At Barcelona Supercomputing Center in Aina project (https://github.com/projecte-aina), a project for Catalan Language Models and Resources, we would like to use Langchain for one of our current projects and we would like to comment that Langchain, while being a very powerful and useful open-source tool, is pretty much focused on English language. We would like to contribute to make it a bit more adaptable for using with other languages. Dependencies: This change requires the Spacy library and a language model, specified in the model parameter. Tag maintainer: @dev2049 Twitter handle: @projecte_aina --------- Co-authored-by: Marina Pliusnina <marina.pliusnina@bsc.es> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
baichuan-assistant	f8f2649f12	community: Add Baichuan LLM to community (#16724 ) Replace this entire comment with: - Description: Add Baichuan LLM to integration/llm, also updated related docs. Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
thiswillbeyourgithub	1d082359ee	community: add support for callable filters in FAISS (#16190 ) - Description: Filtering in a FAISS vectorstores is very inflexible and doesn't allow that many use case. I think supporting callable like this enables a lot: regular expressions, condition on multiple keys etc. Note I had to manually alter a test. I don't understand if it was falty to begin with or if there is something funky going on. - Issue: None - Dependencies: None - Twitter handle: None Signed-off-by: thiswillbeyourgithub <26625900+thiswillbeyourgithub@users.noreply.github.com>	8 months ago
Jacob Lee	4a027e622f	docs[patch]: Lower temperature in chatbot usecase notebooks for consistency (#16750 ) CC @baskaryan	8 months ago
Jacob Lee	12d2b2ebcf	docs[minor]: LCEL rewrite of chatbot use-case (#16414 ) CC @baskaryan @hwchase17 TODO: - [x] Draft of main quickstart - [x] Index intro page - [x] Add subpage guide for Memory management - [x] Add subpage guide for Retrieval - [x] Add subpage guide for Tool usage - [x] Add LangSmith traces illustrating query transformation	8 months ago
Bassem Yacoube	85e93e05ed	community[minor]: Update OctoAI LLM, Embedding and documentation (#16710 ) This PR includes updates for OctoAI integrations: - The LLM class was updated to fix a bug that occurs with multiple sequential calls - The Embedding class was updated to support the new GTE-Large endpoint released on OctoAI lately - The documentation jupyter notebook was updated to reflect using the new LLM sdk Thank you!	8 months ago
Hank	6d6226d96d	docs: Remove accidental extra ``` in QuickStart doc. (#16740 ) Description: One too many set of triple-ticks in a sample code block in the QuickStart doc was causing "\`\`\`shell" to appear in the shell command that was being demonstrated. I just deleted the extra "```". Issue: Didn't see one Dependencies: None	8 months ago
Volodymyr Machula	32c5be8b73	community[minor]: Connery Tool and Toolkit (#14506 ) ## Summary This PR implements the "Connery Action Tool" and "Connery Toolkit". Using them, you can integrate Connery actions into your LangChain agents and chains. Connery is an open-source plugin infrastructure for AI. With Connery, you can easily create a custom plugin with a set of actions and seamlessly integrate them into your LangChain agents and chains. Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features. Additionally, Connery and our community offer a wide range of ready-to-use open-source plugins for your convenience. Learn more about Connery: - GitHub: https://github.com/connery-io/connery-platform - Documentation: https://docs.connery.io - Twitter: https://twitter.com/connery_io ## TODOs - [x] API wrapper - [x] Integration tests - [x] Connery Action Tool - [x] Docs - [x] Example - [x] Integration tests - [x] Connery Toolkit - [x] Docs - [x] Example - [x] Formatting (`make format`) - [x] Linting (`make lint`) - [x] Testing (`make test`)	8 months ago
Neli Hateva	c95facc293	langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019 ) - Description: Implement Ontotext GraphDB QA Chain - Issue: N/A - Dependencies: N/A - Twitter handle: @OntotextGraphDB	8 months ago
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>	8 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>	8 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>	8 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.	8 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	8 months ago
Lance Martin	1bfadecdd2	Update Slack agent toolkit (#16732 ) Co-authored-by: taimoOptTech <132860814+taimo3810@users.noreply.github.com>	8 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>	8 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)`	8 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. -->	8 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)	8 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	8 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

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