langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	d19e074374	core[patch]: handle serializable fields that cant be converted to bool (#25903 )	3 weeks ago
Kirushikesh DB	7f857a02d5	docs: HuggingFace pipeline returns the prompt if return_full_text is not set (#25916 ) Thank you for contributing to LangChain! Description: The current documentation of using the Huggingface with Langchain needs to set return_full_text as False otherwise pipeline by default returns both the prompt and response as output. Code to reproduce: ```python from langchain_huggingface import ChatHuggingFace, HuggingFacePipeline from langchain_core.messages import ( HumanMessage, SystemMessage, ) llm = HuggingFacePipeline.from_model_id( model_id="microsoft/Phi-3.5-mini-instruct", task="text-generation", pipeline_kwargs=dict( max_new_tokens=512, do_sample=False, repetition_penalty=1.03, # return_full_text=False ), device=0 ) chat_model = ChatHuggingFace(llm=llm) messages = [ SystemMessage(content="You're a helpful assistant"), HumanMessage( content="What happens when an unstoppable force meets an immovable object?" ), ] ai_msg = chat_model.invoke(messages) print(ai_msg.content) ``` Output: ``` <\|system\|> You're a helpful assistant<\|end\|> <\|user\|> What happens when an unstoppable force meets an immovable object?<\|end\|> <\|assistant\|> The scenario of an "unstoppable force" meeting an "immovable object" is a classic paradox that has puzzled philosophers, scientists, and thinkers for centuries. In physics, however, there are no such things as truly unstoppable forces or immovable objects because all physical entities have mass and interact with other masses through fundamental forces (like gravity). When we consider the laws of motion, particularly Newton's third law which states that for every action, there is an equal and opposite reaction, it becomes clear that if one were to exist, the other would necessarily be negated by the interaction. For example, if you push against a solid wall with great force, the wall exerts an equal and opposite force back on you, preventing your movement. In theoretical discussions, this paradox often serves as a thought experiment to explore concepts like determinism versus free will, the limits of physical laws, and the nature of reality itself. However, in practical terms, any force applied to an object will result in some form of deformation, transfer of energy, or movement, depending on the properties of both the force and the object. So while the idea of an unstoppable force and an immovable object remains a fascinating philosophical conundrum, it does not hold up under the scrutiny of physical laws as we understand them. ``` --------- Co-authored-by: Kirushikesh D B kirushi@ibm.com <kirushi@cccxl012.pok.ibm.com>	3 weeks ago
Yuxi Zheng	38dfde6946	docs: fix typo in Cassandra for ./cookbook/cql_agent.ipynb (#25922 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: 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. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ 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, ccurme, vbarda, hwchase17. Co-authored-by: “syd” <“zheng.yuxi@outlook.com>	3 weeks ago
Borahm Lee	9cdb99bd60	docs: remove unused imports in Tutorials Basics (#25919 ) ## Description - `List` is not explicitly used, so the unnecessary imports will be removed.	3 weeks ago
Erick Friis	8732cfc6ef	docs: review process gh discussion (#25921 )	3 weeks ago
Erick Friis	08b9715845	docs: pr review process (#25899 ) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 weeks ago
ccurme	60054db1c4	infra[patch]: remove together from scheduled tests (#25909 ) These now run in https://github.com/langchain-ai/langchain-together	3 weeks ago
Emmanuel Leroy	654da27255	improve llamacpp embeddings (#12972 ) - Description: Improve llamacpp embedding class by adding the `device` parameter so it can be passed to the model and used with `gpu`, `cpu` or Apple metal (`mps`). Improve performance by making use of the bulk client api to compute embeddings in batches. - Dependencies: none - Tag maintainer: @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Sandeep Bhandari	f882824eac	Update tool_choice.ipynb spelling mistake of select (#25907 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: 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. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ 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, ccurme, vbarda, hwchase17.	3 weeks ago
ℍ𝕠𝕝𝕝𝕠𝕨 𝕄𝕒𝕟	64b62f6ae4	community[neo4j_vector]: make embedding dimension check optional (#25737 ) Description: Starting from Neo4j 5.23 (22 August 2024), with vector-2.0 indexes, `vector.dimensions` is not required to be set, which will cause it the key not exist error in index config if it's not set. Since the existence of vector.dimensions will only ensure additional checks, this commit turns embedding dimension check optional, and only do checks when it exists (not None). https://neo4j.com/release-notes/database/neo4j-5/ Twitter handle: @HollowM186 Signed-off-by: Hollow Man <hollowman@opensuse.org> Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Christophe Bornet	0a752a74cc	community[patch], docs: Add API reference doc for GraphVectorStore (#25751 )	3 weeks ago
Bagatur	28e2ec7603	ollama[patch]: Release 0.1.3 (#25902 )	3 weeks ago
Bagatur	ca1c3bd9c0	community[patch]: bump + fix core dep (#25901 )	3 weeks ago
Bagatur	fabe32c06d	core[patch]: Release 0.2.37 (#25900 )	3 weeks ago
Richmond Alake	9992a1db43	cookbook: AI Agent Built With LangChain and FireWorksAI (#22609 ) Thank you for contributing to LangChain! - AI Agent Built With LangChain and FireWorksAI: "community notebook" - Description: Added a new AI agent in the cookbook folder that integrates prompt compression using LLMLingua and arXiv retrieval tools. The agent is designed to optimize the efficiency and performance of research tasks by compressing lengthy prompts and retrieving relevant academic papers. The agent also makes uses of MongoDB to store conversational history and as it's knowledge base using MongoDB vector store - Twitter handle: https://x.com/richmondalake --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 weeks ago
mehdiosa	c6f00e6bdc	community: Fix branch not being considered when using GithubFileLoader (#20075 ) - Description: Added `ref` query parameter so data is not loaded only from the default branch but any branch passed --------- Co-authored-by: Osama Mehdi <mehdi@hm.edu> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Leonid Ganeline	54d2b861f6	docs: `integrations` reference updates 12 (#25676 ) Added missed provider pages and links. Fixed inconsistent formatting. Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Aditya	c8b1c3a7e7	docs: update documentation for Vertex Embeddings Models (#25745 ) - Description:update documentation for Vertex Embeddings Models - Issue:NA - Dependencies:NA - Twitter handle:NA --------- Co-authored-by: adityarane@google.com <adityarane@google.com>	3 weeks ago
Alex Sherstinsky	617a4e617b	community: Fix a bug in handling kwargs overwrites in Predibase integration, and update the documentation. (#25893 ) Thank you for contributing to LangChain! - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] Add tests and docs: 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. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ 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, ccurme, vbarda, hwchase17.	3 weeks ago
Erick Friis	28f6ff6fcd	docs: remove incorrect vectorstore local column (#25895 )	3 weeks ago
Anush	ade4bfdff1	qdrant: Updated class check in Self-Query Retriever factory (#25877 ) ## Description - Updates the self-query retriever factory to check for the new Qdrant vector store class. i.e. `langchain_qdrant.QdrantVectorstore`. - Deprecates `QdrantSparseVectorRetriever`, since the vector store implementation natively supports it now. Resolves #25798	3 weeks ago
Djordje	862ef32fdc	community: Fixed infinity embeddings async request (#25882 ) Description: Fix async infinity embeddings Issue: #24942 @baskaryan, @ccurme	3 weeks ago
rainsubtime	f75d5621e2	community:Fix a bug of LLM in moonshot (#25878 ) - Description: When useing LLM integration moonshot,it's occurring error "'Moonshot' object has no attribute '_client'",it's because of the "_client" that is private in pydantic v1.0 so that we can't use it.I turn "_client" into "client" , the error to be resolved! - Issue: the issue #24390 - Dependencies: none - Twitter handle: @Rainsubtime - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Co-authored-by: Cyue <Cyue_work2001@163.com>	3 weeks ago
ZhangShenao	fd0f147df3	Improvement[Community] Add tool-calling test case for `ChatZhipuAI` (#25884 ) - Add tool-calling test case for `ChatZhipuAI`	3 weeks ago
k.muto	5bb810c5c6	docs: updated args_schema to be required when using callback handlers in custom tools. (#25887 ) - Description: if you use callback handlers when using tool, run_manager will be added to input, so you need to explicitly specify args_schema, but i was confused because it was not listed, so i added it. Also, it seems that the type does not work with pydantic.BaseModel. - Issue: None - Dependencies: None	3 weeks ago
默奕	6377185291	add neo4j query constructor for self query (#25288 ) - [x] PR title - community: add neo4j query constructor for self query - [x] PR message - Description: adding a Neo4jTranslator so that the Neo4j vector database can use SelfQueryRetriever - Issue: this issue had been raised before in #19748 - Dependencies: none. - Twitter handle: @moyi_dang - p.s. I have not added the query constructor in BUILTIN_TRANSLATORS in this PR, I want to make changes to only one package at a time. - [x] Add tests and docs: 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. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ 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, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Ohad Eytan	b5d670498f	partners/milvus: allow creating a vectorstore with sparse embeddings (#25284 ) # Description Milvus (and `pymilvus`) recently added the option to use [sparse vectors](https://milvus.io/docs/sparse_vector.md#Sparse-Vector) with appropriate search methods (e.g., `SPARSE_INVERTED_INDEX`) and embeddings (e.g., `BM25`, `SPLADE`). This PR allow creating a vector store using langchain's `Milvus` class, setting the matching vector field type to `DataType.SPARSE_FLOAT_VECTOR` and the default index type to `SPARSE_INVERTED_INDEX`. It is only extending functionality, and backward compatible. ## Note I also interested in extending the Milvus class further to support multi vector search (aka hybrid search). Will be happy to discuss that. See [here](https://github.com/langchain-ai/langchain/discussions/19955), [here](https://github.com/langchain-ai/langchain/pull/20375), and [here](https://github.com/langchain-ai/langchain/discussions/22886) similar needs. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Erick Friis	09b04c7e3b	"community: release 0.2.15" (#25867 )	3 weeks ago
Erick Friis	f7e62754a1	community: undo azure_ad_access_token breaking change (#25818 )	3 weeks ago
Leonid Ganeline	6047138379	docs: `arxiv` reference updates (#24949 ) Added: arxiv references to the concepts page. Regenerated: arxiv references page. Improved: formatting of the concepts page (moved the Partner packages section after langchain_community)	3 weeks ago
Bagatur	1759ff5836	infra: rm together lagnchain test dp (#25866 )	3 weeks ago
Erick Friis	24f0c232fe	docs: elastic feature (#25865 )	3 weeks ago
Erick Friis	1640872059	together: mv to external repo (#25863 )	3 weeks ago
Michael Paciullo	e7c856c298	langchain_openai: Add "strict" parameter to OpenAIFunctionsAgent (#25862 ) - Description: OpenAI recently introduced a "strict" parameter for [structured outputs in their API](https://openai.com/index/introducing-structured-outputs-in-the-api/). An optional `strict` parameter has been added to `create_openai_functions_agent()` and `create_openai_tools_agent()` so developers can use this feature in those agents. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Bagatur	fabd3295fa	core[patch]: dont mutate merged lists/dicts (#25858 ) Update merging utils to - not mutate objects - have special handling to 'type' keys in dicts	3 weeks ago
Kyle Winkelman	09c2d8faca	langchain_openai: Cleanup OpenAIEmbeddings validate_environment. (#25855 ) Description: [This portion of code](https://github.com/langchain-ai/langchain/blob/v0.1.16/libs/partners/openai/langchain_openai/embeddings/base.py#L189-L196) has no use as a couple lines later a [`ValueError` is thrown](https://github.com/langchain-ai/langchain/blob/v0.1.16/libs/partners/openai/langchain_openai/embeddings/base.py#L209-L213). Issue: A follow up to #25852.	3 weeks ago
Kyle Winkelman	201bdf7148	community: Cap AzureOpenAIEmbeddings chunk_size at 2048 instead of 16. (#25852 ) Description: Within AzureOpenAIEmbeddings there is a validation to cap `chunk_size` at 16. The value of 16 is either an old limitation or was erroneously chosen. I have checked all of the `preview` and `stable` releases to ensure that the `embeddings` endpoint can handle 2048 entries [Azure/azure-rest-api-specs](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference). I have also found many locations that confirm this limit should be 2048: - https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#embeddings - https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits Issue: fixes #25462	3 weeks ago
Leonid Ganeline	08c9c683a7	docs: `integrations` reference updates 6 (#25188 ) Added missed provider pages. Added missed references to the integration components.	3 weeks ago
Allan Ascencio	a8af396a82	added octoai test (#21793 ) - [ ] PR title: community: add tests for ChatOctoAI - [ ] PR message: Description: Added unit tests for the ChatOctoAI class in the community package to ensure proper validation and default values. These tests verify the correct initialization of fields, the handling of missing required parameters, and the proper setting of aliases. Issue: N/A Dependencies: None --------- Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 weeks ago
Param Singh	69f9acb60f	premai[patch]: Standardize premai params (#21513 ) Thank you for contributing to LangChain! community:premai[patch]: standardize init args - updated `temperature` with Pydantic Field, updated the unit test. - updated `max_tokens` with Pydantic Field, updated the unit test. - updated `max_retries` with Pydantic Field, updated the unit test. Related to #20085 --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: ccurme <chester.curme@gmail.com>	3 weeks ago
Guangdong Liu	fcf9230257	community(sparkllm): Add function call support in Sparkllm chat model. (#20607 ) - Description: Add function call support in Sparkllm chat model. Related documents https://www.xfyun.cn/doc/spark/Web.html#_2-function-call%E8%AF%B4%E6%98%8E - @baskaryan --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 weeks ago
ChengZi	37f5ba416e	partners[milvus]: fix issue when metadata_schema is None (#25836 ) fix issue when metadata_schema is None Signed-off-by: ChengZi <chen.zhang@zilliz.com>	3 weeks ago
ccurme	426333ff6f	infra[patch]: remove AI21 from scheduled tests (#25847 ) These now run in https://github.com/langchain-ai/langchain-ai21	3 weeks ago
Jorge Piedrahita Ortiz	9ac953a948	Community: sambastudio embeddings GenericV2 API support (#25064 ) - Description: SambaStudio GenericV2 API support Minor changes for requests error handling	3 weeks ago
Sam Jove	bdce9a47d0	community[patch]: callback before yield for _astream (gigachat) (#25834 ) Description: Moves yield to after callback for _astream for gigachat in the community package Issue: #16913 --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Jinoos Lee	703af9ffe3	Patch enable to use Amazon OpenSearch Serverless(aoss) for Semantic Cache store (#25833 ) - [x] PR title: "community: Patch enable to use Amazon OpenSearch Serverless for Semantic Cache store" - [x] PR message: - Description: OpenSearchSemanticCache class support Amazon OpenSearch Serverless for Semantic Cache store, it's only required to pass auth(http_auth) parameter to initializer - Dependencies: none If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Jinoos Lee <jinoos@amazon.com>	3 weeks ago
William FH	1ad621120d	docs: Update langgraph 0.2.0 checkpointer import path (#25205 ) And fix the description for timeout	3 weeks ago
Andrew Benton	c410545075	docs: add self-hosting row to code interpreter tools table (#25303 ) Description: Add information about self-hosting support to the code interpreter tools table. Issue: N/A Dependencies: N/A	3 weeks ago
Eugene Yurtsev	83327ac43a	docs: Fix typo in openai llm integration notebook (#25492 ) Fix typo in openai LLM integration notebook.	3 weeks ago
Leonid Ganeline	31f55781b3	docs: added ColBERT reference (#25452 ) Added references to the source papers. Fixed URL verification code. Improved arXive page formatting. Regenerated arXiv page.	3 weeks ago

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