langchain

Commit Graph

Author	SHA1	Message	Date
Isaac Francisco	148088a588	docs: duckduckgosearch options listed (#22568 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 month ago
Mikhail Khludnev	ef868bc24b	docs: mentioning query_instruction with regards to BGE-M3 (#22405 ) see https://github.com/langchain-ai/langchain/pull/18017#issuecomment-2143942760 https://huggingface.co/BAAI/bge-m3#faq Co-authored-by: mikhail-khludnev <mikhail_khludnev@rntgroup.com> Co-authored-by: Erick Friis <erick@langchain.dev>	1 month ago
X-HAN	62f13f95e4	community[minor]: add DashScope Rerank (#22403 ) Description: this PR adds DashScope Rerank capability to Langchain, you can find DashScope Rerank API from [here](https://help.aliyun.com/document_detail/2780058.html?spm=a2c4g.2780059.0.0.6d995024FlrJ12) & [here](https://help.aliyun.com/document_detail/2780059.html?spm=a2c4g.2780058.0.0.63f75024cr11N9). [DashScope](https://dashscope.aliyun.com/) is the generative AI service from Alibaba Cloud (Aliyun). You can create DashScope API key from [here](https://bailian.console.aliyun.com/?apiKey=1#/api-key). Dependencies: DashScopeRerank depends on `dashscope` python package. Twitter handle: my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thanks you! Tests and docs 1. integration test: `test_dashscope_rerank.py` 2. example notebook: `dashscope_rerank.ipynb` Lint and test: I have run `make format`, `make lint` and `make test` from the root of the package I've modified. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 month ago
Ethan Yang	29064848f9	[Community]add option to delete the prompt from HF output (#22225 ) This will help to solve pattern mismatching issue when parsing the output in Agent. https://github.com/langchain-ai/langchain/issues/21912	1 month ago
Jacob Lee	c040dc7017	docs[patch]: Adds heading keywords to concepts page (#22577 ) @efriis @baskaryan	1 month ago
Erick Friis	24fa17593f	docs: update agentexecutor title to legacy (#22575 )	1 month ago
Bagatur	584a1e30ac	community[patch]: AzureSearch async functions (#22075 )	1 month ago
Bagatur	1a911018bc	langchain[minor]: add universal init_model (#22039 ) decisions to discuss - only chat models - model_provider isn't based on any existing values like llm-type, package names, class names - implemented as function not as a wrapper ChatModel - function name (init_model) - in langchain as opposed to community or core - marked beta	1 month ago
Isaac Francisco	67012c2558	docs: deprecation of max_length parameter used in Exa search (#22567 )	1 month ago
ccurme	af129974a3	community: update how OpenAIAssistantV2Runnable creates threads with tool_resources (#22549 ) https://github.com/langchain-ai/langchain/issues/22503	1 month ago
Bagatur	51a0d4574e	community[patch]: Release 0.2.3 (#22562 )	1 month ago
Bagatur	b2daba37c7	nomic[patch]: Release 0.1.2 (#22561 )	1 month ago
Zach Nussbaum	14f3014cce	embeddings: nomic embed vision (#22482 ) Thank you for contributing to LangChain! Description: Adds Langchain support for Nomic Embed Vision Twitter handle: nomic_ai,zach_nussbaum - [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. - [ ] 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: Lance Martin <122662504+rlancemartin@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 month ago
leila-messallem	3280a5b49b	community[patch]: improve test setup to accurately test filtering of labels in neo4j (#22531 ) Description: This PR addresses an issue with an existing test that was not effectively testing the intended functionality. The previous test setup did not adequately validate the filtering of the labels in neo4j, because the nodes and relationship in the test data did not have any properties set. Without properties these labels would not have been returned, regardless of the filtering. --------- Co-authored-by: Oskar Hane <oh@oskarhane.com>	1 month ago
Mohammad Mohtashim	7fcef2556c	[Experimental]: Async agenerate method ollama functions (#21682 ) - Description: : Added Async method for Generate for OllamaFunctions which was missing and was raising errors for the users. - Issue: #21422	1 month ago
Stefano Lottini	328d0c99f2	community[minor]: Add support for metadata indexing policy in Cassandra vector store (#22548 ) This PR adds a constructor `metadata_indexing` parameter to the Cassandra vector store to allow optional fine-tuning of which fields of the metadata are to be indexed. This is a feature supported by the underlying CassIO library. Indexing mode of "all", "none" or deny- and allow-list based choices are available. The rationale is, in some cases it's advisable to programmatically exclude some portions of the metadata from the index if one knows in advance they won't ever be used at search-time. this keeps the index more lightweight and performant and avoids limitations on the length of _indexed_ strings. I added a integration test of the feature. I also added the possibility of running the integration test with Cassandra on an arbitrary IP address (e.g. Dockerized), via `CASSANDRA_CONTACT_POINTS=10.1.1.5,10.1.1.6 poetry run pytest [...]` or similar. While I was at it, I added a line to the `.gitignore` since the mypy _test_ cache was not ignored yet. My X (Twitter) handle: @rsprrs.	1 month ago
Emilien Chauvet	c3d4126eb1	community[minor]: add user agent for web scraping loaders (#22480 ) Description: This PR adds a `USER_AGENT` env variable that is to be used for web scraping. It creates a util to get that user agent and uses it in the classes used for scraping in [this piece of doc](https://python.langchain.com/v0.1/docs/use_cases/web_scraping/). Identifying your scraper is considered a good politeness practice, this PR aims at easing it. Issue: `None` Dependencies: `None` Twitter handle: `None`	1 month ago
Philippe PRADOS	8250c177de	community[minor]: Add native async support to SQLChatMessageHistory (#22065 ) # package community: Fix SQLChatMessageHistory ## Description Here is a rewrite of `SQLChatMessageHistory` to properly implement the asynchronous approach. The code circumvents [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) by accepting a synchronous call to `def add_messages()` in an asynchronous scenario. This bypasses the bug. For the same reasons as in [PR 22](https://github.com/langchain-ai/langchain-postgres/pull/32) of `langchain-postgres`, we use a lazy strategy for table creation. Indeed, the promise of the constructor cannot be fulfilled without this. It is not possible to invoke a synchronous call in a constructor. We compensate for this by waiting for the next asynchronous method call to create the table. The goal of the `PostgresChatMessageHistory` class (in `langchain-postgres`) is, among other things, to be able to recycle database connections. The implementation of the class is problematic, as we have demonstrated in [issue 22021](https://github.com/langchain-ai/langchain/issues/22021). Our new implementation of `SQLChatMessageHistory` achieves this by using a singleton of type (`Async`)`Engine` for the database connection. The connection pool is managed by this singleton, and the code is then reentrant. We also accept the type `str` (optionally complemented by `async_mode`. I know you don't like this much, but it's the only way to allow an asynchronous connection string). In order to unify the different classes handling database connections, we have renamed `connection_string` to `connection`, and `Session` to `session_maker`. Now, a single transaction is used to add a list of messages. Thus, a crash during this write operation will not leave the database in an unstable state with a partially added message list. This makes the code resilient. We believe that the `PostgresChatMessageHistory` class is no longer necessary and can be replaced by: ``` PostgresChatMessageHistory = SQLChatMessageHistory ``` This also fixes the bug. ## Issue - [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) - Bug in _exit_history() - Bugs in PostgresChatMessageHistory and sync usage - Bugs in PostgresChatMessageHistory and async usage - [issue 36](https://github.com/langchain-ai/langchain-postgres/issues/36) ## Twitter handle: pprados ## Tests - libs/community/tests/unit_tests/chat_message_histories/test_sql.py (add async test) @baskaryan, @eyurtsev or @hwchase17 can you check this PR ? And, I've been waiting a long time for validation from other PRs. Can you take a look? - [PR 32](https://github.com/langchain-ai/langchain-postgres/pull/32) - [PR 15575](https://github.com/langchain-ai/langchain/pull/15575) - [PR 13200](https://github.com/langchain-ai/langchain/pull/13200) --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 month ago
Vincent Min	59bef31997	community[minor]: Improve InMemoryVectorStore with ability to persist to disk and filter on metadata. (#22186 ) - Description: The InMemoryVectorStore is a nice and simple vector store implementation for quick development and debugging. The current implementation is quite limited in its functionalities. This PR extends the functionalities by adding utility function to persist the vector store to a json file and to load it from a json file. We choose the json file format because it allows inspection of the database contents in a text editor, which is great for debugging. Furthermore, it adds a `filter` keyword that can be used to filter out documents on their `page_content` or `metadata`. - Issue: - - Dependencies: - - Twitter handle: @Vincent_Min	1 month ago
Christophe Bornet	c34ad8c163	core[patch]: Improve VectorStore API doc (#22547 )	1 month ago
maang-h	89128b7a49	community[patch]: add detailed paragraph and example for BaichuanTextEmbeddings (#22031 ) - Description: add detailed paragraph and example for BaichuanTextEmbeddings - Issue: the issue #21983	1 month ago
Anthony Bernabeu	4e676a63b8	community[minor]: Added filter search for LanceDB (#22461 ) - [ ] community: "vectorstore: added filtering support for LanceDB vector store" - [ ] This PR adds filtering capabilities to LanceDB: - Description: In LanceDB filtering can be applied when searching for data into the vectorstore. It is using the SQL language as mentioned in the LanceDB documentation. - Issue: #18235 - Dependencies: No - [ ] 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/	1 month ago
Erick Friis	4050d6ea2b	huggingface: remove text-generation dep (#22543 )	1 month ago
Erick Friis	a6fc74f379	ai21: fix core version (#22544 )	1 month ago
Asaf Joseph Gardin	75cba742e5	ai21: fix ai21 unittests (#22526 ) Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev>	1 month ago
Erick Friis	58192d617f	community: fix huggingface deprecations (#22522 )	1 month ago
Jacob Lee	1e748a6d40	docs[patch]: Adds links to deprecations page (#22514 ) @baskaryan	1 month ago
William FH	91fed3ace7	[Docs] Structured output Keywords (#22511 )	1 month ago
Christophe Bornet	8ba868d3b0	core[patch]: Add similarity_score_threshold to VectorStore search types (#22477 )	1 month ago
Eugene Yurtsev	9120cf5df2	core[patch]: Deduplicate of callback handlers in merge_configs (#22478 ) This PR adds deduplication of callback handlers in merge_configs. Fix for this issue: https://github.com/langchain-ai/langchain/issues/22227 The issue appears when the code is: 1) running python >=3.11 2) invokes a runnable from within a runnable 3) binds the callbacks to the child runnable from the parent runnable using with_config In this case, the same callbacks end up appearing twice: (1) the first time from with_config, (2) the second time with langchain automatically propagating them on behalf of the user. Prior to this PR this will emit duplicate events: ```python @tool async def get_items(question: str, callbacks: Callbacks): # <--- Accept callbacks """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template \| chat_model.with_config( { "callbacks": callbacks, # <-- Propagate callbacks } ) return await chain.ainvoke({"question": question}) ``` Prior to this PR this will work work correctly (no duplicate events): ```python @tool async def get_items(question: str, callbacks: Callbacks): # <--- Accept callbacks """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template \| chat_model return await chain.ainvoke({"question": question}, {"callbacks": callbacks}) ``` This will also work (as long as the user is using python >= 3.11) -- as langchain will automatically propagate callbacks ```python @tool async def get_items(question: str,): """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template \| chat_model return await chain.ainvoke({"question": question}) ```	1 month ago
Jacob Lee	64dbc52cae	docs[patch]: Update quickstart tutorial (#22504 ) Mentions LCEL more, hopefully flags it to more people as a simple entrypoint @baskaryan @hwchase17	1 month ago
Ofer Mendelevitch	ad502e8d50	community[minor]: Vectara Integration Update - Streaming, FCS, Chat, updates to documentation and example notebooks (#21334 ) Thank you for contributing to LangChain! Description: update to the Vectara / Langchain integration to integrate new Vectara capabilities: - Full RAG implemented as a Runnable with as_rag() - Vectara chat supported with as_chat() - Both support streaming response - Updated documentation and example notebook to reflect all the changes - Updated Vectara templates Twitter handle: ofermend Add tests and docs: no new tests or docs, but updated both existing tests and existing docs	1 month ago
Bagatur	cb183a9bf1	docs: update anthropic chat model (#22483 ) Related to #22296 And update anthropic to accept base_url	1 month ago
Erick Friis	d700ce8545	robocorp: typo (#22509 )	1 month ago
Erick Friis	39fd44579a	robocorp: release 0.0.9.post1 (#22507 )	1 month ago
Erick Friis	339e3b7f55	ai21: release 0.1.6 (#22508 )	1 month ago
ccurme	3c53cea760	together, upstage: bump minimum langchain-openai version (#22505 )	1 month ago
Erick Friis	c438b5b78e	docs: fix api ref link generation (#22438 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 month ago
Bagatur	efcb04f84b	mongodb[patch]: Release 0.1.6 (#22501 )	1 month ago
Bagatur	222b1ba112	groq[patch]: Release 0.1.5 (#22500 )	1 month ago
Bagatur	f021be510e	milvus[patch]: Release 0.1.1 (#22499 )	1 month ago
Bagatur	64d68c17cd	upstage[patch]: Release 0.1.6 (#22498 )	1 month ago
Bagatur	48fba40fce	experimental[patch]: Release 0.0.60 (#22497 )	1 month ago
Bagatur	e60f88ccdd	community[patch]: Release 0.2.2 (#22496 )	1 month ago
Bagatur	85aa218564	langchain[patch]: Release 0.2.2 (#22495 )	1 month ago
Bagatur	8e86080def	mistralai[patch]: Release 0.1.8 (#22494 )	1 month ago
Bagatur	e850de2422	huggingface[patch]: release 0.0.2 (#22493 )	1 month ago
Jacob Lee	593de8a913	docs[patch]: Add robots.txt and root sitemap (#22492 ) CC @efriis @baskaryan	1 month ago
Bagatur	99a3cad258	text-splitters[patch]: Release 0.2.1 (#22490 )	1 month ago
Bagatur	161b02a8be	core[patch]: Release 0.2.4 (#22489 )	1 month ago

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