4467 Commits (5ba1899cd72dd57ee760d63137e2c92731c7f7a4)

Author	SHA1	Message	Date
Enzo Poggio	8f019e91d7	community[patch]: Use Custom Logger Instead of Root Logger in get_user_agent Function (#22691) ... ## Description This PR addresses a logging inconsistency in the `get_user_agent` function. Previously, the function was using the root logger to log a warning message when the "USER_AGENT" environment variable was not set. This bypassed the custom logger `log` that was created at the start of the module, leading to potential inconsistencies in logging behavior. Changes: - Replaced `logging.warning` with `log.warning` in the `get_user_agent` function to ensure that the custom logger is used. This change ensures that all logging in the `get_user_agent` function respects the configurations of the custom logger, leading to more consistent and predictable logging behavior. ## Dependencies None ## Issue None ## Tests and docs ☝🏻 see description ## `make format`, `make lint` & `cd libs/community; make test` ```shell > make format poetry run ruff format docs templates cookbook 1417 files left unchanged poetry run ruff check --select I --fix docs templates cookbook All checks passed! ``` ```shell > make lint poetry run ruff check docs templates cookbook All checks passed! poetry run ruff format docs templates cookbook --diff 1417 files already formatted poetry run ruff check --select I docs templates cookbook All checks passed! git grep 'from langchain import' docs/docs templates cookbook | grep -vE 'from langchain import (hub)' && exit 1 || exit 0 ``` ~cd libs/community; make test~ too much dependencies for integration ... ```shell > poetry run pytest tests/unit_tests .... ==== 884 passed, 466 skipped, 4447 warnings in 15.93s ==== ``` I choose you randomly : @ccurme	3 months ago
Philippe PRADOS	9aabb446c5	community[minor]: Add SQL storage implementation (#22207) ... Hello @eyurtsev - package: langchain-comminity - **Description**: Add SQL implementation for docstore. A new implementation, in line with my other PR ([async PGVector](https://github.com/langchain-ai/langchain-postgres/pull/32), [SQLChatMessageMemory](https://github.com/langchain-ai/langchain/pull/22065)) - Twitter handler: pprados --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Piotr Mardziel <piotrm@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Nithish Raghunandanan	f2f0e0e13d	couchbase: Add the initial version of Couchbase partner package (#22087) ... Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Cahid Arda Öz	6c07eb0c12	community[minor]: Add UpstashRatelimitHandler (#21885) ... Adding `UpstashRatelimitHandler` callback for rate limiting based on number of chain invocations or LLM token usage. For more details, see [upstash/ratelimit-py repository](https://github.com/upstash/ratelimit-py) or the notebook guide included in this PR. Twitter handle: @cahidarda --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Erick Friis	9e03864d64	core: add error message for non-structured llm to StructuredPrompt (#22684) ... previously was the blank `NotImplementedError` from `BaseLanguageModel.with_structured_output`	3 months ago
ccurme	f32d57f6f0	anthropic: refactor streaming to use events api; add streaming usage metadata (#22628) ... - Refactor streaming to use raw events; - Add `stream_usage` class attribute and kwarg to stream methods that, if True, will include separate chunks in the stream containing usage metadata. There are two ways to implement streaming with anthropic's python sdk. They have slight differences in how they surface usage metadata. 1. [Use helper functions](https://github.com/anthropics/anthropic-sdk-python?tab=readme-ov-file#streaming-helpers). This is what we are doing now. ```python count = 1 with client.messages.stream(**params) as stream: for text in stream.text_stream: snapshot = stream.current_message_snapshot print(f"{count}: {snapshot.usage} -- {text}") count = count + 1 final_snapshot = stream.get_final_message() print(f"{count}: {final_snapshot.usage}") ``` ``` 1: Usage(input_tokens=8, output_tokens=1) -- Hello 2: Usage(input_tokens=8, output_tokens=1) -- ! 3: Usage(input_tokens=8, output_tokens=1) -- How 4: Usage(input_tokens=8, output_tokens=1) -- can 5: Usage(input_tokens=8, output_tokens=1) -- I 6: Usage(input_tokens=8, output_tokens=1) -- assist 7: Usage(input_tokens=8, output_tokens=1) -- you 8: Usage(input_tokens=8, output_tokens=1) -- today 9: Usage(input_tokens=8, output_tokens=1) -- ? 10: Usage(input_tokens=8, output_tokens=12) ``` To do this correctly, we need to emit a new chunk at the end of the stream containing the usage metadata. 2. [Handle raw events](https://github.com/anthropics/anthropic-sdk-python?tab=readme-ov-file#streaming-responses) ```python stream = client.messages.create(**params, stream=True) count = 1 for event in stream: print(f"{count}: {event}") count = count + 1 ``` ``` 1: RawMessageStartEvent(message=Message(id='msg_01Vdyov2kADZTXqSKkfNJXcS', content=[], model='claude-3-haiku-20240307', role='assistant', stop_reason=None, stop_sequence=None, type='message', usage=Usage(input_tokens=8, output_tokens=1)), type='message_start') 2: RawContentBlockStartEvent(content_block=TextBlock(text='', type='text'), index=0, type='content_block_start') 3: RawContentBlockDeltaEvent(delta=TextDelta(text='Hello', type='text_delta'), index=0, type='content_block_delta') 4: RawContentBlockDeltaEvent(delta=TextDelta(text='!', type='text_delta'), index=0, type='content_block_delta') 5: RawContentBlockDeltaEvent(delta=TextDelta(text=' How', type='text_delta'), index=0, type='content_block_delta') 6: RawContentBlockDeltaEvent(delta=TextDelta(text=' can', type='text_delta'), index=0, type='content_block_delta') 7: RawContentBlockDeltaEvent(delta=TextDelta(text=' I', type='text_delta'), index=0, type='content_block_delta') 8: RawContentBlockDeltaEvent(delta=TextDelta(text=' assist', type='text_delta'), index=0, type='content_block_delta') 9: RawContentBlockDeltaEvent(delta=TextDelta(text=' you', type='text_delta'), index=0, type='content_block_delta') 10: RawContentBlockDeltaEvent(delta=TextDelta(text=' today', type='text_delta'), index=0, type='content_block_delta') 11: RawContentBlockDeltaEvent(delta=TextDelta(text='?', type='text_delta'), index=0, type='content_block_delta') 12: RawContentBlockStopEvent(index=0, type='content_block_stop') 13: RawMessageDeltaEvent(delta=Delta(stop_reason='end_turn', stop_sequence=None), type='message_delta', usage=MessageDeltaUsage(output_tokens=12)) 14: RawMessageStopEvent(type='message_stop') ``` Here we implement the second option, in part because it should make things easier when implementing streaming tool calls in the near future. This would add two new chunks to the stream-- one at the beginning and one at the end-- with blank content and containing usage metadata. We add kwargs to the stream methods and a class attribute allowing for this behavior to be toggled. I enabled it by default. If we merge this we can add the same kwargs / attribute to OpenAI. Usage: ```python from langchain_anthropic import ChatAnthropic model = ChatAnthropic( model="claude-3-haiku-20240307", temperature=0 ) full = None for chunk in model.stream("hi"): full = chunk if full is None else full + chunk print(chunk) print(f"\nFull: {full}") ``` ``` content='' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 8, 'output_tokens': 0, 'total_tokens': 8} content='Hello' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='!' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' How' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' can' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' I' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' assist' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' you' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' today' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='?' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 0, 'output_tokens': 12, 'total_tokens': 12} Full: content='Hello! How can I assist you today?' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 8, 'output_tokens': 12, 'total_tokens': 20} ```	3 months ago
Bagatur	235d91940d	community[patch]: Release 0.2.4 (#22643)	3 months ago
William FH	be79ce9336	[Core] Unified Enable/Disable Tracing (#22576)	3 months ago
Bagatur	fe2e5a3b74	langchain[patch]: Release 0.2.3 (#22644)	3 months ago
Erick Friis	a24a9c6427	multiple: get rid of pyproject extras (#22581) ... They cause `poetry lock` to take a ton of time, and `uv pip install` can resolve the constraints from these toml files in trivial time (addressing problem with #19153) This allows us to properly upgrade lockfile dependencies moving forward, which revealed some issues that were either fixed or type-ignored (see file comments)	3 months ago
Bagatur	4367e89c9a	core[patch]: Release 0.2.5 (#22642)	3 months ago
Eugene Yurtsev	28f744c1f5	core[patch]: Correctly order parent ids in astream events (from root to immediate parent), add defensive check for cycles (#22637) ... This PR makes two changes: 1. Fixes the order of parent IDs to be from root to immediate parent 2. Adds a simple defensive check for cycles	3 months ago
Eugene Yurtsev	035a9c9609	core[minor]: Add parent_ids to astream_events API (#22563) ... Include a list of parent ids for each event in astream events.	3 months ago
Nicolas Nkiere	51005e2776	core[minor]: Add an async root listener and with_alisteners method (#22151) ... - [x] **Adding AsyncRootListener**: "langchain_core: Adding AsyncRootListener" - **Description:** Adding an AsyncBaseTracer, AsyncRootListener and `with_alistener` function. This is to enable binding async root listener to runnables. This currently only supported for sync listeners. - **Issue:** None - **Dependencies:** None - [x] **Add tests and docs**: Added units tests and example snippet code within the function description of `with_alistener` - [x] **Lint and test**: Run make format_diff, make lint_diff and make test	3 months ago
seyf97	2904c50cd5	openai[patch]: correct grammar in exception message in embeddings/base.py (#22629) ... Correct the grammar error for missing transformers package ValueError	3 months ago
Anush	80560419b0	qdrant[patch]: Make path optional in from_existing_collection() (#21875) ... ## Description The `path` param is used to specify the local persistence directory, which isn't required if using Qdrant server. This is a breaking but necessary change.	3 months ago
ccurme	b57aa89f34	multiple: implement ls_params (#22621) ... implement ls_params for ai21, fireworks, groq.	3 months ago
Xiangrui Meng	f26ab93df8	community: support Databricks Unity Catalog functions as LangChain tools (#22555) ... This PR adds support for using Databricks Unity Catalog functions as LangChain tools, which runs inside a Databricks SQL warehouse. * An example notebook is provided.	3 months ago
ccurme	c1ef731503	anthropic: update attribute name and alias (#22625) ... update name to `stop_sequences` and alias to `stop` (instead of the other way around), since `stop_sequences` is the name used by anthropic.	3 months ago
lucasiscovici	05bf98b2f9	community[patch]: pgvector replace nin_ by not_in (#22619) ... - [ ] **community**: "pgvector: replace nin_ by not_in" - [ ] **PR message**: nin_ do not exist in sqlalchemy orm, it's not_in	3 months ago
ccurme	3999761201	multiple: add `stop` attribute (#22573)	3 months ago
ccurme	e08879147b	Revert "anthropic: stream token usage" (#22624) ... Reverts langchain-ai/langchain#20180	3 months ago
Bagatur	0d495f3f63	anthropic: stream token usage (#20180) ... open to other ideas <img width="1181" alt="Screenshot 2024-04-08 at 5 34 08 PM" src="https://github.com/langchain-ai/langchain/assets/22008038/03eb11c4-5eb5-43e3-9109-a13f76098fa4"> --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Satyam Kumar	17b486a37b	openai, azure: update model_name in ChatResult to use name from API response (#22569) ... The response.get("model", self.model_name) checks if the model key exists in the response dictionary. If it does, it uses that value; otherwise, it uses self.model_name. 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: Bagatur <baskaryan@gmail.com>	3 months ago
Christophe Bornet	12ddb4fc6f	core[patch]: Use explicit classes for InMemoryByteStore and InMemoryStore (#22608) ... The current implementation doesn't work well with type checking. Instead replace with class definition that correctly works with type checking.	3 months ago
andyjessen	cfed68e06f	docs: Fix description (#22611) ... This commit fixes the description of the hair_color field.	3 months ago
ccurme	1925bde32e	together: bump langchain-core (#22616) ... langchain-together depends on langchain-openai ^0.1.8 langchain-openai 0.1.8 has langchain-core >= 0.2.2 Here we bump langchain-core to 0.2.2, just to pass minimum dependency version tests.	3 months ago
ccurme	35f4aa927b	together[patch]: Release 0.1.3 (#22615)	3 months ago
andyjessen	8b40428f58	docs: Fix typo (#22603) ... This commit changes minor typo in the field description.	3 months ago
Isaac Francisco	ba3e219d83	community[patch]: recursive url loader fix and unit tests (#22521) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Jeffrey Mak	5fc5ed463c	community[patch]:Support filter for AzureAISearchRetriever (#22303) ... **Description**: The AzureAISearchRetriever does not support the "$filter" argument offered in the AISearch API: https://learn.microsoft.com/en-us/rest/api/searchservice/documents/search-get?view=rest-searchservice-2023-11-01&tabs=HTTP The $filter allows filtering of indexes based on values in metadata. **Issue**: https://github.com/langchain-ai/langchain/issues/19885 **Dependencies**: No **Twitter handle**: @Jeffreym9M - [ ] **Add tests and docs**: Not relevant - [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/	3 months ago
Isaac Francisco	148088a588	docs: duckduckgosearch options listed (#22568) ... Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months 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>	3 months 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	3 months ago
Bagatur	584a1e30ac	community[patch]: AzureSearch async functions (#22075)	3 months 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	3 months ago
ccurme	af129974a3	community: update how OpenAIAssistantV2Runnable creates threads with tool_resources (#22549) ... https://github.com/langchain-ai/langchain/issues/22503	3 months ago
Bagatur	51a0d4574e	community[patch]: Release 0.2.3 (#22562)	3 months ago
Bagatur	b2daba37c7	nomic[patch]: Release 0.1.2 (#22561)	3 months 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>	3 months 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>	3 months 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	3 months 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.	3 months 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`	3 months 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>	3 months 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	3 months ago
Christophe Bornet	c34ad8c163	core[patch]: Improve VectorStore API doc (#22547)	3 months 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	3 months 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/	3 months ago
Erick Friis	4050d6ea2b	huggingface: remove text-generation dep (#22543)	3 months ago