langchain

Commit Graph

Author	SHA1	Message	Date
Erick Friis	2a984e8e3f	docs: huggingface package (#21645 )	1 day ago
Rohan Aggarwal	8021d2a2ab	community[minor]: Oraclevs integration (#21123 ) Thank you for contributing to LangChain! - Oracle AI Vector Search Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. - Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. This Pull Requests Adds the following functionalities Oracle AI Vector Search : Vector Store Oracle AI Vector Search : Document Loader Oracle AI Vector Search : Document Splitter Oracle AI Vector Search : Summary Oracle AI Vector Search : Oracle Embeddings - We have added unit tests and have our own local unit test suite which verifies all the code is correct. We have made sure to add guides for each of the components and one end to end guide that shows how the entire thing runs. - We have made sure that make format and make lint run clean. Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: skmishraoracle <shailendra.mishra@oracle.com> Co-authored-by: hroyofc <harichandan.roy@oracle.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 weeks ago
Bagatur	8b4b75e543	docs: standardize vertexai params (#20167 ) Related to #20085 Requires https://github.com/langchain-ai/langchain-google/pull/121	2 weeks ago
Bagatur	6d3e9eaf84	docs: format (#21132 )	2 weeks ago
Patrick McFadin	3331865f6b	community[minor]: add Cassandra Database Toolkit (#20246 ) Description: ToolKit and Tools for accessing data in a Cassandra Database primarily for Agent integration. Initially, this includes the following tools: - `cassandra_db_schema` Gathers all schema information for the connected database or a specific schema. Critical for the agent when determining actions. - `cassandra_db_select_table_data` Selects data from a specific keyspace and table. The agent can pass paramaters for a predicate and limits on the number of returned records. - `cassandra_db_query` Expiriemental alternative to `cassandra_db_select_table_data` which takes a query string completely formed by the agent instead of parameters. May be removed in future versions. Includes unit test and two notebooks to demonstrate usage. Dependencies: cassio Twitter handle: @PatrickMcFadin --------- Co-authored-by: Phil Miesle <phil.miesle@datastax.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 weeks ago
Sean	e1c2e2fdfa	upstage: Upstage Groundedness Check parameter update (#20914 ) * Groundedness Check takes `str` or `list[Document]` as input. * Deprecate `GroundednessCheck` due to its naming. * Added `UpstageGroundednessCheck`. * Hotfix for Groundedness Check parameter. The name `query` was misleading and it should be `answer` instead. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
ccurme	481d3855dc	patch: remove usage of llm, chat model __call__ (#20788 ) - `llm(prompt)` -> `llm.invoke(prompt)` - `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`) - `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt, config={"callbacks": callbacks})` - `llm(prompt, kwargs)` -> `llm.invoke(prompt, kwargs)`	3 weeks ago
junkeon	c8fd51e8c8	upstage: Add Upstage partner package LA and GC (#20651 ) --------- Co-authored-by: Sean <chosh0615@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Sean Cho <sean@upstage.ai>	3 weeks ago
Tabish Mir	6a0d44d632	docs: Fix link for `partition_pdf` in Semi_Structured_RAG.ipynb cookbook (#20763 ) docs: Fix link for `partition_pdf` in Semi_Structured_RAG.ipynb cookbook - Description: Fix incorrect link to unstructured-io `partition_pdf` section	3 weeks ago
ccurme	c010ec8b71	patch: deprecate (a)get_relevant_documents (#20477 ) - `.get_relevant_documents(query)` -> `.invoke(query)` - `.get_relevant_documents(query=query)` -> `.invoke(query)` - `.get_relevant_documents(query, callbacks=callbacks)` -> `.invoke(query, config={"callbacks": callbacks})` - `.get_relevant_documents(query, kwargs)` -> `.invoke(query, kwargs)` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Ikko Eltociear Ashimine	7a884eb416	Update RAPTOR.ipynb (#20586 ) Langauge -> Language	4 weeks ago
ccurme	39471a9c87	docs: update tool calling cookbook (#20290 ) Co-authored-by: Erick Friis <erick@langchain.dev>	1 month ago
Bagatur	9514bc4d67	core[minor], ...: add tool calls message (#18947 ) core[minor], langchain[patch], openai[minor], anthropic[minor], fireworks[minor], groq[minor], mistralai[minor] ```python class ToolCall(TypedDict): name: str args: Dict[str, Any] id: Optional[str] class InvalidToolCall(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] error: Optional[str] class ToolCallChunk(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] index: Optional[int] class AIMessage(BaseMessage): ... tool_calls: List[ToolCall] = [] invalid_tool_calls: List[InvalidToolCall] = [] ... class AIMessageChunk(AIMessage, BaseMessageChunk): ... tool_call_chunks: Optional[List[ToolCallChunk]] = None ... ``` Important considerations: - Parsing logic occurs within different providers; - ~Changing output type is a breaking change for anyone doing explicit type checking;~ - ~Langsmith rendering will need to be updated: https://github.com/langchain-ai/langchainplus/pull/3561~ - ~Langserve will need to be updated~ - Adding chunks: - ~AIMessage + ToolCallsMessage = ToolCallsMessage if either has non-null .tool_calls.~ - Tool call chunks are appended, merging when having equal values of `index`. - additional_kwargs accumulate the normal way. - During streaming: - ~Messages can change types (e.g., from AIMessageChunk to AIToolCallsMessageChunk)~ - Output parsers parse additional_kwargs (during .invoke they read off tool calls). Packages outside of `partners/`: - https://github.com/langchain-ai/langchain-cohere/pull/7 - https://github.com/langchain-ai/langchain-google/pull/123/files --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 month ago
Guangdong Liu	301dc3dfd2	docs: Get rid of ZeroShotAgent and use create_react_agent instead (#20157 ) - Issue: #20122 - @baskaryan, @eyurtsev.	1 month ago
Richmond Alake	c769421aa4	cookbook: MongoDB Cookbook for Chat history and semantic cache (#19998 ) Thank you for contributing to LangChain! - [ ] PR title: "community: Add semantic caching and memory using MongoDB" - [ ] PR message: - Description: This PR introduces functionality for adding semantic caching and chat message history using MongoDB in RAG applications. By leveraging the MongoDBCache and MongoDBChatMessageHistory classes, developers can now enhance their retrieval-augmented generation applications with efficient semantic caching mechanisms and persistent conversation histories, improving response times and consistency across chat sessions. - Issue: N/A - Dependencies: Requires `datasets`, `langchain`, `langchain-mongodb`, `langchain-openai`, `pymongo`, and `pandas` for implementation. MongoDB Atlas is used for database services, and the OpenAI API for model access. - Twitter handle: @richmondalake Co-authored-by: Erick Friis <erick@langchain.dev>	1 month ago
Bagatur	5ae0e687b3	docs: use standard openai params (#20160 ) Part of #20085	1 month ago
Marlene	2f03bc397e	Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925 ) Last year Microsoft [changed the name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) of Azure Cognitive Search to Azure AI Search. This PR updates the Langchain Azure Retriever API and it's associated docs to reflect this change. It may be confusing for users to see the name Cognitive here and AI in the Microsoft documentation which is why this is needed. I've also added a more detailed example to the Azure retriever doc page. There are more places that need a similar update but I'm breaking it up so the PRs are not too big 😄 Fixing my errors from the previous PR. Twitter: @marlene_zw Two new tests added to test backward compatibility in `libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 month ago
Lance Martin	e76b9210dd	Update example cookbook for Anthropic tool use (#20029 )	1 month ago
Lance Martin	a6926772f0	Add cookbook for Anthropic .with_structured_output() (#20017 )	1 month ago
Jacob Lee	605c3f23e1	docs: reorg and visual refresh (#19765 ) - put use cases in main sidebar - move modules to own sidebar, rename components - cleanup lcel section - cleanup guides - update font, cell highlighting --------- Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 month ago
LunarECL	b7d180a70d	experimental[minor]: Create Closed Captioning Chain for .mp4 videos (#14059 ) Description: Video imagery to text (Closed Captioning) This pull request introduces the VideoCaptioningChain, a tool for automated video captioning. It processes audio and video to generate subtitles and closed captions, merging them into a single SRT output. Issue: https://github.com/langchain-ai/langchain/issues/11770 Dependencies: opencv-python, ffmpeg-python, assemblyai, transformers, pillow, torch, openai Tag maintainer: @baskaryan @hwchase17 Hello!  We are a group of students from the University of Toronto (@LunarECL, @TomSadan, @nicoledroi1, @A2113S) that want to make a contribution to the LangChain community! We have ran make format, make lint and make test locally before submitting the PR. To our knowledge, our changes do not introduce any new errors. Thank you for taking the time to review our PR! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Lance Martin	e0f137dbe0	docs: Agentic and Self-RAG w/ LangGraph (#16910 ) To do: [ ] Add streaming [ ] Move to LangGraph	2 months ago
standby24x7	36090c84f2	docs: Update function "run" to "invoke" in llm_symbolic_math.ipynb (#19713 ) This patch updates multiple function "run" to "invoke" in llm_symbolic_math.ipynb. Without this patch, you see following message. The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
Chaunte W. Lacewell	a31f692f4e	community[minor]: Add VDMS vectorstore (#19551 ) - Description: Add support for Intel Lab's [Visual Data Management System (VDMS)](https://github.com/IntelLabs/vdms) as a vector store - Dependencies: `vdms` library which requires protobuf = "4.24.2". There is a conflict with dashvector in `langchain` package but conflict is resolved in `community`. - Contribution maintainer: [@cwlacewe](https://github.com/cwlacewe) - Added tests: libs/community/tests/integration_tests/vectorstores/test_vdms.py - Added docs: docs/docs/integrations/vectorstores/vdms.ipynb - Added cookbook: cookbook/multi_modal_RAG_vdms.ipynb --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Filip Michalsky	2fceec3771	docs: update cookbook example for SalesGPT - include Stripe Payment Link Generation (#19622 ) Thank you for contributing to LangChain! - [ ] cookbook - update example for SalesGPT - include Stripe Payment Link Generation - Description: We updated the Jupyter notebook example with the ability of the AI Agent to negotiate with customers and then close the deal by generating a custom Stripe payment link. - Issue: N/A - Dependencies: N/a - Twitter handle: @FilipMichalsky @0xtotaylor If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Filip Michalsky <filip_michalsky@g.harvard.edu> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Fabrizio Ruocco	f12cb0bea4	community[patch]: Microsoft Azure Document Intelligence updates (#16932 ) - Description: Update Azure Document Intelligence implementation by Microsoft team and RAG cookbook with Azure AI Search --------- Co-authored-by: Lu Zhang (AI) <luzhan@microsoft.com> Co-authored-by: Yateng Hong <yatengh@microsoft.com> Co-authored-by: teethache <hongyateng2006@126.com> Co-authored-by: Lu Zhang <44625949+luzhang06@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
standby24x7	16e64d889a	docs: Update function "run" to "invoke" in fake_llm.ipynb (#19570 ) This patch updates function "run" to "invoke" in fake_llm.ipynb. Without this patch, you see following warning. LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
Dixing (Dex) Xu	903541f439	docs: update dependecy for autogpt/marathon.ipynb (#19491 ) fixes the import error from notebook based on the [documentation](https://api.python.langchain.com/en/latest/agents/langchain_experimental.agents.agent_toolkits.pandas.base.create_pandas_dataframe_agent.html) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Erick Friis	cceaca3e4f	cookbook[patch]: add strip of quotes (#19452 )	2 months ago
aditya thomas	05008c4f94	docs: update stale links in Together AI documentation (#19011 ) Description: Update stales link in Together AI documentation Issue: Some links pointed to legacy webpages on the Together AI website Dependencies: None Lint and test: `make format`, `make lint` were run	2 months ago
Pranav Agarwal	bd9b5dc2f3	docs: Updating cookbook README for amazon personalize (#17854 ) This PR is a successor to this PR - https://github.com/langchain-ai/langchain/pull/17436 This PR updates the cookbook README with the notebook so that it is available on langchain docs for discoverability. cc: @baskaryan, @3coins --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
standby24x7	67d48ea600	docs:Update function "run" to "invoke" in llm_bash.ipynb (#18663 ) This path updates function "run" to "invoke" in llm_bash.ipynb. Without this path, you see following warning. LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
Max Jakob	cca0167917	elasticsearch[patch], community[patch]: update references, deprecate community classes (#18506 ) Follow up on https://github.com/langchain-ai/langchain/pull/17467. - Update all references to the Elasticsearch classes to use the partners package. - Deprecate community classes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
standby24x7	a2779738aa	docs:Update function "run" to "invoke" in smart_llm.ipynb (#18568 ) This patch updates function "run" to "invoke" in smart_llm.ipynb. Without this patch, you see following warning. LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com> Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
Lance Martin	72ae744588	RAPTOR (#18467 ) Cookbook for RAPTOR paper	2 months ago
standby24x7	8461700738	docs: Update function "run" to "invoke" (#18499 ) Currently llm_checker.ipynb uses a function "run". Update to "invoke" to avoid following warning. LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
standby24x7	6c9177681d	docs: Update function "run" to "invoke" in llm_math.ipynb (#18505 ) This patch updates function "run" to "invoke". Without this patch you see following warning. LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
standby24x7	57c733e560	docs: Fix spelling typos in apache_kafka notebook (#17998 ) This patch fixes some spelling typos in apache_kafka_message_handling.ipynb Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
Leonid Kuligin	e080281623	docs: cookbook on gemma integrations (#18213 ) - [ ] PR title: "cookbook: using Gemma on LangChain" - [ ] PR message: - Description: added a tutorial how to use Gemma with LangChain (from VertexAI or locally from Kaggle or HF) - Dependencies: langchain-google-vertexai==0.0.7 - Twitter handle: lkuligin	2 months ago
Bagatur	5efb5c099f	text-splitters[minor], langchain[minor], community[patch], templates, docs: langchain-text-splitters 0.0.1 (#18346 )	3 months ago
Erick Friis	b4f6066a57	docs: airbyte github cookbook (#18275 )	3 months ago
Harrison Chase	c673717c2b	add optimization notebook (#18155 )	3 months ago
Max Jakob	5ab69f907f	partners: add Elasticsearch package (#17467 ) ### Description This PR moves the Elasticsearch classes to a partners package. Note that we will not move (and later remove) `ElasticKnnSearch`. It were previously deprecated. `ElasticVectorSearch` is going to stay in the community package since it is used quite a lot still. Also note that I left the `ElasticsearchTranslator` for self query untouched because it resides in main `langchain` package. ### Dependencies There will be another PR that updates the notebooks (potentially pulling them into the partners package) and templates and removes the classes from the community package, see https://github.com/langchain-ai/langchain/pull/17468 #### Open question How to make the transition smooth for users? Do we move the import aliases and require people to install `langchain-elasticsearch`? Or do we remove the import aliases from the `langchain` package all together? What has worked well for other partner packages? --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Yufei (Benny) Chen	ee6a773456	fireworks[patch]: Add Fireworks partner packages (#17694 ) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Erick Friis	ed789be8f4	docs, templates: update schema imports to core (#17885 ) - chat models, messages - documents - agentaction/finish - baseretriever,document - stroutputparser - more messages - basemessage - format_document - baseoutputparser --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Erick Friis	a53370a060	pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896 )	3 months ago
Pranav Agarwal	86ae48b781	experimental[minor]: Amazon Personalize support (#17436 ) ## Amazon Personalize support on Langchain This PR is a successor to this PR - https://github.com/langchain-ai/langchain/pull/13216 This PR introduces an integration with [Amazon Personalize](https://aws.amazon.com/personalize/) to help you to retrieve recommendations and use them in your natural language applications. This integration provides two new components: 1. An `AmazonPersonalize` client, that provides a wrapper around the Amazon Personalize API. 2. An `AmazonPersonalizeChain`, that provides a chain to pull in recommendations using the client, and then generating the response in natural language. We have added this to langchain_experimental since there was feedback from the previous PR about having this support in experimental rather than the core or community extensions. Here is some sample code to explain the usage. ```python from langchain_experimental.recommenders import AmazonPersonalize from langchain_experimental.recommenders import AmazonPersonalizeChain from langchain.llms.bedrock import Bedrock recommender_arn = "<insert_arn>" client=AmazonPersonalize( credentials_profile_name="default", region_name="us-west-2", recommender_arn=recommender_arn ) bedrock_llm = Bedrock( model_id="anthropic.claude-v2", region_name="us-west-2" ) chain = AmazonPersonalizeChain.from_llm( llm=bedrock_llm, client=client ) response = chain({'user_id': '1'}) ``` Reviewer: @3coins	3 months ago
Moshe Berchansky	20a56fe0a2	community[minor]: Add QuantizedEmbedders (#17391 ) Description: * adding Quantized embedders using optimum-intel and intel-extension-for-pytorch. * added mdx documentation and example notebooks * added embedding import testing. Dependencies: optimum = {extras = ["neural-compressor"], version = "^1.14.0", optional = true} intel_extension_for_pytorch = {version = "^2.2.0", optional = true} Dependencies have been added to pyproject.toml for the community lib. Twitter handle: @peter_izsak --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
merlin-quix	729c6d6827	docs: add use case for managing chat messages via Apache Kafka (#16771 ) Adding a new notebook that demonstrates how to use LangChain's standard chat features while passing the chat messages back and forth via Apache Kafka. This goal is to simulate an architecture where the chat front end and the LLM are running as separate services that need to communicate with one another over an internal nework. It's an alternative to typical pattern of requesting a reponse from the model via a REST API (there's more info on why you would want to do this at the end of the notebook). NOTE: Assuming "uses cases" is the right place for this but feel free to propose another location. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	3 months ago
Harrison Chase	a9d6da609a	add self discover notebook (#17387 )	3 months ago

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