2922 Commits (c2d09fb151e5c3232b63eec6a6a8d6264f388ea5)

Author	SHA1	Message	Date
Erick Friis	17e886388b	nomic: init pkg (#16853) ... Co-authored-by: Lance Martin <lance@langchain.dev>	7 months ago
Bagatur	b0347f3e2b	docs: add csv use case (#16756)	7 months ago
Jacob Lee	c6724a39f4	Fix rephrase step in chatbot use case (#16763)	7 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>	7 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>	7 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>	7 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>	7 months ago
Jacob Lee	4a027e622f	docs[patch]: Lower temperature in chatbot usecase notebooks for consistency (#16750) ... CC @baskaryan	7 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	7 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!	7 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	7 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`)	7 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	7 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>	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>	7 months ago
Leonid Ganeline	5e73603e8a	docs: `DeepInfra` provider page update (#16665) ... - added description, links - consistent formatting - added links to the example pages	7 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.	7 months ago
Seungwoo Ryu	570b4f8e66	docs: Update openai_tools.ipynb (#16618) ... typo	7 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.	7 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>	7 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>	7 months ago
Bagatur	61e876aad8	openai[patch]: Explicitly support embedding dimensions (#16596)	7 months ago
Bagatur	6c89507988	docs: add rag citations page (#16549)	7 months ago
Bagatur	db80832e4f	docs: output parser nits (#16588)	7 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	7 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>	7 months ago
Bob Lin	35e60728b7	docs: Fix broken urls (#16559)	7 months ago
Bob Lin	6023953ea7	docs: Fix github link (#16560)	7 months ago
Erick Friis	adc008407e	exa: init pkg (#16553)	7 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>	7 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	7 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>	7 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>	7 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	7 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	7 months ago
Erick Friis	8d299645f9	docs: rm output (#16519)	7 months ago
Lance Martin	0b740ebd49	Update SQL agent toolkit docs (#16409)	7 months ago
Francisco Ingham	13cf4594f4	docs: added a few suggestions for sql docs (#16508)	7 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.	7 months ago
Tipwheal	66aafc0573	Docs: typo in tool use quick start page (#16494) ... Minor typo fix	7 months ago