langchain

Commit Graph

Author	SHA1	Message	Date
Robert Caulk	54adcd9e82	community[minor]: add AskNews retriever and AskNews tool (#21581 ) We add a tool and retriever for the [AskNews](https://asknews.app) platform with example notebooks. The retriever can be invoked with: ```py from langchain_community.retrievers import AskNewsRetriever retriever = AskNewsRetriever(k=3) retriever.invoke("impact of fed policy on the tech sector") ``` To retrieve 3 documents in then news related to fed policy impacts on the tech sector. The included notebook also includes deeper details about controlling filters such as category and time, as well as including the retriever in a chain. The tool is quite interesting, as it allows the agent to decide how to obtain the news by forming a query and deciding how far back in time to look for the news: ```py from langchain_community.tools.asknews import AskNewsSearch from langchain import hub from langchain.agents import AgentExecutor, create_openai_functions_agent from langchain_openai import ChatOpenAI tool = AskNewsSearch() instructions = """You are an assistant.""" base_prompt = hub.pull("langchain-ai/openai-functions-template") prompt = base_prompt.partial(instructions=instructions) llm = ChatOpenAI(temperature=0) asknews_tool = AskNewsSearch() tools = [asknews_tool] agent = create_openai_functions_agent(llm, tools, prompt) agent_executor = AgentExecutor( agent=agent, tools=tools, verbose=True, ) agent_executor.invoke({"input": "How is the tech sector being affected by fed policy?"}) ``` --------- Co-authored-by: Emre <e@emre.pm>	4 months ago
Jesse S	fc79b372cb	community[minor]: add aerospike vectorstore integration (#21735 ) Please let me know if you see any possible areas of improvement. I would very much appreciate your constructive criticism if time allows. Description: - Added a aerospike vector store integration that utilizes [Aerospike-Vector-Search](https://aerospike.com/products/vector-database-search-llm/) add-on. - Added both unit tests and integration tests - Added a docker compose file for spinning up a test environment - Added a notebook Dependencies: any dependencies required for this change - aerospike-vector-search Twitter handle: - No twitter, you can use my GitHub handle or LinkedIn if you'd like Thanks! --------- Co-authored-by: Jesse Schumacher <jschumacher@aerospike.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Prince Canuma	3587c60396	community[patch]: Fix MLX LLM Stream (#20575 ) Closes #20561 This PR fixes MLX LLM stream `AttributeError`. Recently, `mlx-lm` changed the token decoding logic, which affected the LC+MLX integration. Additionally, I made minor fixes such as: docs example broken link and enforcing pipeline arguments (max_tokens, temp and etc) for invoke. - Issue: #20561 - Twitter handle: @Prince_Canuma	4 months ago
Rahul Triptahi	96bd0b0844	community[patch]: Remove redundant pebblo cloud api call (#21589 ) Description: removed redundant pebblo cloud api call. Changed classified `doc` key to `ai_apps_data`. Documentation: N/A Unit tests: N/A	4 months ago
Param Singh	d07885f8b7	community[patch]: standardized sparkllm init args (#21633 ) Related to #20085 @baskaryan Thank you for contributing to LangChain! community:sparkllm[patch]: standardized init args updated `spark_api_key` so that aliased to `api_key`. Added integration test for `sparkllm` to test that it continues to set the same underlying attribute. updated temperature with Pydantic Field, added to the integration test. Ran `make format`,`make test`, `make lint`, `make spell_check`	4 months ago
Dhruv Chawla	d4359d3de6	community[patch]: Update UpTrain Callback Handler to support the new UpTrain evaluation schema (#21656 ) UpTrain has a new dashboard now that makes it easier to view projects and evaluations. Using this requires specifying both project_name and evaluation_name when performing evaluations. I have updated the code to support it.	4 months ago
Alex Riina	c0e3c3a350	openai[patch], community[patch]: add pricing and max context window for GPT-4o (#21673 ) # Add pricing and max context window for GPT-4o - community: add cost per 1k tokens and max context window - partners: add max context window Description: adds static information about GPT-4o based on https://openai.com/api/pricing/ and https://platform.openai.com/docs/models/gpt-4o so that GPT-4o reporting is accurate. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
缨缨	bd39b2ccdf	community: enable SupabaseVectorStore to support extended table fields (#21762 ) Thank you for contributing to LangChain! - [x] PR title: "community: enable SupabaseVectorStore to support extended table fields" - [x] PR message: - Added extension fields to the function _add_vectors so that users can add other custom fields when insert a record into the database. eg: ![image](https://github.com/langchain-ai/langchain/assets/10885578/e1d5ca20-936e-4cab-ba69-8fdd23b8ce8f) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Jens	b0b302ec6b	community[patch]: fixed aleph alpha default emedding request (#21826 ) - Description: In the aleph alpha client the paramater `normalize` is not optional. Setting this to `None` gives an error. - Dependencies: None Co-authored-by: Jens Lücke <jens.luecke@tngtech.com> Co-authored-by: Jens <jens.luecke@hu-berlin.de> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Jorge Piedrahita Ortiz	e6207ad4f3	community[patch]: Sambanova integration api update (#21848 ) - Description:: SambaStudio generic endpoint compatibility added Improved error description, and handling streaming examples added	4 months ago
Liuww	332ffed393	community[patch]: Adopting the lighter-weight xinference_client (#21900 ) While integrating the xinference_embedding, we observed that the downloaded dependency package is quite substantial in size. With a focus on resource optimization and efficiency, if the project requirements are limited to its vector processing capabilities, we recommend migrating to the xinference_client package. This package is more streamlined, significantly reducing the storage space requirements of the project and maintaining a feature focus, making it particularly suitable for scenarios that demand lightweight integration. Such an approach not only boosts deployment efficiency but also enhances the application's maintainability, rendering it an optimal choice for our current context. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Jiří Spilka	6499897c87	community[patch]: update apify integration to attribute API activity to langchain (#21909 ) Description: Add `Origin/langchain` to Apify's client's user-agent to attribute API activity to LangChain (at Apify, we aim to monitor our integrations to evaluate whether we should invest more in the LangChain integration regarding functionality and content) Issue: None Dependencies: None Twitter handle: None	4 months ago
Tomaz Bratanic	d85e46321a	community[patch]: Better error message for neo4j vector when text is null (#21861 )	4 months ago
WilliamEspegren	30bca57aae	doc list not empty (#21208 ) Make sure the doc list is not empty, and set Metadata: true in param, to enable the user to disable metadata for slightly faster crawls.	4 months ago
TJ	8cd6ed3e1e	community[patch]: Update documentation string in databricks chat model (#21915 ) Update typos in documentation string in databricks chat model	4 months ago
Erick Friis	169f525cfb	community: release 0.2.0 (#21834 )	4 months ago
Eugene Yurtsev	e3f30b4cde	docs: clean up link to bing search (#21825 ) Documentation should be inlined, not linking to medium article.	4 months ago
Sen Lin	eb7f07ae36	community[patch]: fix typo in ValueError message in load_local function (#21818 ) Description: Corrected an error in the `allow_dangerous_deserialization` message within the `load_local` functions	4 months ago
Jorge Piedrahita Ortiz	700b1c7212	community: sambaverse api update (#21816 ) - Description: fix sambaverse integration to make it compatible with sambaverse API update / minor changes in docs	4 months ago
maang-h	9f8d18c028	community[patch]: Fix unintended newline in print statement in exception for BaichuanTextEmbeddings (#21820 ) - Code: langchain_community/embeddings/baichuan.py:82 - Description: When I make an error using 'baichuan embeddings', the printed error message is wrapped (there is actually no need to wrap) ```python # example from langchain_community.embeddings import BaichuanTextEmbeddings # error key BAICHUAN_API_KEY = "sk-xxxxxxxxxxxxx" embeddings = BaichuanTextEmbeddings(baichuan_api_key=BAICHUAN_API_KEY) text_1 = "今天天气不错" query_result = embeddings.embed_query(text_1) ``` ![unintended newline](https://github.com/langchain-ai/langchain/assets/55082429/e1178ce8-62bb-405d-a4af-e3b28eabc158)	4 months ago
Eugene Yurtsev	8607735b80	langchain[patch],community[patch]: Move unit tests that depend on community to community (#21685 )	4 months ago
Marco Lamina	d0fae6cd54	community: Add token cost for GPT-4o model (#21771 ) Adding [token cost for the new GPT-4o model](https://openai.com/api/pricing/): * Input cost US$5.00 / 1M tokens * Output cost US$15.00 / 1M tokens	4 months ago
Massimiliano Pronesti	0c0db7c5db	feat(community): support semantic hybrid score threshold in Azure AI Search (#21527 ) Support semantic hybrid search with a score threshold -- similar to what we do for similarity search and for hybrid search (#20907).	4 months ago
Stefano Lottini	040597e832	community: init signature revision for Cassandra LLM cache classes + small maintenance (#17765 ) This PR improves on the `CassandraCache` and `CassandraSemanticCache` classes, mainly in the constructor signature, and also introduces several minor improvements around these classes. ### Init signature A (sigh) breaking change is tentatively introduced to the constructor. To me, the advantages outweigh the possible discomfort: the new syntax places the DB-connection objects `session` and `keyspace` later in the param list, so that they can be given a default value. This is what enables the pattern of _not_ specifying them, provided one has previously initialized the Cassandra connection through the versatile utility method `cassio.init(...)`. In this way, a much less unwieldy instantiation can be done, such as `CassandraCache()` and `CassandraSemanticCache(embedding=xyz)`, everything else falling back to defaults. A downside is that, compared to the earlier signature, this might turn out to be breaking for those doing positional instantiation. As a way to mitigate this problem, this PR typechecks its first argument trying to detect the legacy usage. (And to make this point less tricky in the future, most arguments are left to be keyword-only). If this is considered too harsh, I'd like guidance on how to further smoothen this transition. Our plan is to make the pattern of optional session/keyspace a standard across all Cassandra classes, so that a repeatable strategy would be ideal. A possibility would be to keep positional arguments for legacy reasons but issue a deprecation warning if any of them is actually used, to later remove them with 0.2 - please advise on this point. ### Other changes - class docstrings: enriched, completely moved to class level, added note on `cassio.init(...)` pattern, added tiny sample usage code. - semantic cache: revised terminology to never mention "distance" (it is in fact a similarity!). Kept the legacy constructor param with a deprecation warning if used. - `llm_caching` notebook: uniform flow with the Cassandra and Astra DB separate cases; better and Cassandra-first description; all imports made explicit and from community where appropriate. - cache integration tests moved to community (incl. the imported tools), env var bugfix for `CASSANDRA_CONTACT_POINTS`. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Kyle Cassidy	eca8c4bcc6	Standardized openai init params (#21739 ) ## Patch Summary community:openai[patch]: standardize init args ## Details I made changes to the OpenAI Chat API wrapper test in the Langchain open-source repository - File: `libs/community/tests/unit_tests/chat_models/test_openai.py` - Changes: - Updated `max_retries` with Pydantic Field - Updated the corresponding unit test - Related Issues: #20085 - Updated max_retries with Pydantic Field, updated the unit test. --------- Co-authored-by: JuHyung Son <sonju0427@gmail.com>	4 months ago
Ethan Yang	e44b448ec3	community: update openvino doc with streaming support (#21519 ) Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 months ago
ccurme	19e6bf814b	community: fix CI (#21766 )	4 months ago
Mish Ushakov	d77e60a7f4	community: updated Browserbase loader (#21757 ) Thank you for contributing to LangChain! - [x] PR title: "community: updated Browserbase loader" - [x] PR message: Updates the Browserbase loader with more options and improved docs. - [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/	4 months ago
Cheese	0ead09f84d	community: Implement `bind_tools` for ChatTongyi (#20725 ) ## Description Implement `bind_tools` in ChatTongyi. Usage example: ```py from langchain_core.tools import tool from langchain_community.chat_models.tongyi import ChatTongyi @tool def multiply(first_int: int, second_int: int) -> int: """Multiply two integers together.""" return first_int * second_int llm = ChatTongyi(model="qwen-turbo") llm_with_tools = llm.bind_tools([multiply]) msg = llm_with_tools.invoke("What's 5 times forty two") print(msg) ``` Streaming is also supported. ## Dependencies No Dependency is required for this change. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 months ago
Harrison Chase	15be439719	Harrison/move flashrank rerank (#21448 ) third party integration, should be in community	4 months ago
Rajendra Kadam	54e003268e	langchain[minor]: Add PebbloRetrievalQA chain with Identity & Semantic Enforcement support (#20641 ) - Description: PebbloRetrievalQA chain introduces identity enforcement using vector-db metadata filtering - Dependencies: None - Issue: None - Documentation: Adding documentation for PebbloRetrievalQA chain in a separate PR(https://github.com/langchain-ai/langchain/pull/20746) - Unit tests: New unit-tests added --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	4 months ago
Erick Friis	c77d2f2b06	multiple: core 0.2 nonbreaking dep, check_diff community->langchain dep (#21646 ) 0.2 is not a breaking release for core (but it is for langchain and community) To keep the core+langchain+community packages in sync at 0.2, we will relax deps throughout the ecosystem to tolerate `langchain-core` 0.2	4 months ago
Anush	edd68e4ad4	qdrant: init package (#21146 ) ## Description This PR introduces the new `langchain-qdrant` partner package, intending to deprecate the community package. ## Changes - Moved the Qdrant vector store implementation `/libs/partners/qdrant` with integration tests. - The conditional imports of the client library are now regular with minor implementation improvements. - Added a deprecation warning to `langchain_community.vectorstores.qdrant.Qdrant`. - Replaced references/imports from `langchain_community` with either `langchain_core` or by moving the definitions to the `langchain_qdrant` package itself. - Updated the Qdrant vector store documentation to reflect the changes. ## Testing - `QDRANT_URL` and [`QDRANT_API_KEY`](`583e36bf6b`) env values need to be set to [run integration tests](`d608c93d1f`) in the [cloud](https://cloud.qdrant.tech). - If a Qdrant instance is running at `http://localhost:6333`, the integration tests will use it too. - By default, tests use an [`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode) instance(Not comprehensive). --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com>	4 months ago
Prashanth Rao	63c3a0e56c	[community][graph]: Update KuzuQAChain and docs (#21218 ) This PR makes some small updates for `KuzuQAChain` for graph QA. - Updated Cypher generation prompt (we now support `WHERE EXISTS`) and generalize it more - Support different LLMs for Cypher generation and QA - Update docs and examples	4 months ago
Jofthomas	afd85b60fc	huggingface: init package (#21097 ) First Pr for the langchain_huggingface partner Package - Moved some of the hugging face related class from `community` to the new `partner package` Still needed : - Documentation - Tests - Support for the new apply_chat_template in `ChatHuggingFace` - Confirm choice of class to support for embeddings witht he sentence-transformer team. cc : @efriis --------- Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Tomaz Bratanic	9fce03e7db	community[patch]: Fix neo4j enhanced schema (#21582 )	4 months ago
Christophe Bornet	66a4da8ad0	community[patch]: Improve Cassandra VectorStore docsctrings (#21620 )	4 months ago
Eugene Yurtsev	25fbe356b4	community[patch]: upgrade to recent version of mypy (#21616 ) This PR upgrades community to a recent version of mypy. It inserts type: ignore on all existing failures.	4 months ago
Jorge Piedrahita Ortiz	4378fbbef0	community[patch]: Fix typos in Sambanova integration doc-strings (#21617 ) - Description: Sambanova integration docstrings updated, bad formated --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	4 months ago
Christophe Bornet	bcf53f93e1	[community]: Add missing docstring param to CassandraLoader (#21611 )	4 months ago
Christophe Bornet	e6fa4547b1	community[minor]: Add alazy_load to AsyncHtmlLoader (#21536 ) Also fixes a bug that `_scrape` was called and was doing a second HTTP request synchronously. Twitter handle: cbornet_	4 months ago
Leonid Ganeline	500569da48	community[patch]: `vectorstores` import update (#21169 ) Issue: we have several helper functions to import third-party libraries like lancedb.import_lancedb in [community.vectorstores](https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.lancedb.import_lancedb.html#langchain_community.vectorstores.lancedb.import_lancedb). And we have core.utils.utils.guard_import that works exactly for this purpose. The import_<package> functions work inconsistently and rather be private functions. Change: replaced these functions with the guard_import function. Related to #21133	4 months ago
ccurme	3003363605	langchain, community: remove cap on sqlalchemy and bump duckdb (#21509 )	4 months ago
Erick Friis	3db85cbb5b	community: deps (#21508 )	5 months ago
ccurme	375f447e58	community: fix builds with min dependencies (#21495 )	5 months ago
ccurme	3bb9bec314	bedrock: add unit test for retriever (#21485 ) This was implemented in https://github.com/langchain-ai/langchain/pull/21349 but dropped before merge.	5 months ago
Renu Rozera	4035a1d234	Add source metadata to bedrock retriever response (#21349 ) Thank you for contributing to LangChain! - [X] PR title: "community: Add source metadata to bedrock retriever response" - [X] PR message: - Description: Bedrock retrieve API returns extra metadata in the response which is currently not returned in the retriever response - Issue: The change adds the metadata from bedrock retrieve API response to the bedrock retriever in a backward compatible way. Renamed metadata to sourceMetadata as metadata term is being used in the Document already. This is in sync with what we are doing in llama-index as well. - Dependencies: No - [X] Add tests and docs: 1. Added unit tests 2. Notebook already exists and does not need any change 3. Response from end to end testing, just to ensure backward compatibility: `[Document(page_content='Exoplanets.', metadata={'location': {'s3Location': {'uri': 's3://bucket/file_name.txt'}, 'type': 'S3'}, 'score': 0.46886647, 'source_metadata': {'x-amz-bedrock-kb-source-uri': 's3://bucket/file_name.txt', 'tag': 'space', 'team': 'Nasa', 'year': 1946.0}})]` - [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, hwchase17. --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	5 months ago
Erick Friis	f178c67ad0	community: release 0.2.0rc1, bump deps (#21470 )	5 months ago
roiperlman	9992beaff9	community: Add arguments to whisper parser (#20378 ) Description: Added a few additional arguments to the whisper parser, which can be consumed by the underlying API. The prompt is especially important to fine-tune transcriptions. --------- Co-authored-by: Roi Perlman <roi@fivesigmalabs.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Yash	cb31c3611f	Ndb enterprise (#21233 ) Description: Adds NeuralDBClientVectorStore to the langchain, which is our enterprise client. --------- Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com> Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>	5 months ago

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1024 Commits (54adcd9e828e24bb24b2055f410137aca6a12834)