10038 Commits (68e0ae32864ae9251e447d7c580d9330131721e1)

 

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Author	SHA1	Message	Date
Rohan Aggarwal	86e8224cf1	community[patch]: Support for old clients (Thin and Thick) Oracle Vector Store (#22766) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" Support for old clients (Thin and Thick) Oracle Vector Store - [ ] **PR message**: ***Delete this entire checklist*** and replace with Support for old clients (Thin and Thick) Oracle Vector Store - [ ] **Add tests and docs**: If you're adding a new integration, please include Have our own local tests --------- Co-authored-by: rohan.aggarwal@oracle.com <rohaagga@phoenix95642.dev3sub2phx.databasede3phx.oraclevcn.com>	4 weeks ago
Jacob Lee	232908a46d	docs[patch]: Adds streaming conceptual doc (#22760) ... CC @hwchase17 @baskaryan	4 weeks ago
Mr. Lance E Sloan «UMich»	84dc2dd059	community[patch]: Load YouTube transcripts (captions) as fixed-duration chunks with start times (#21710) ... - **Description:** Add a new format, `CHUNKS`, to `langchain_community.document_loaders.youtube.YoutubeLoader` which creates multiple `Document` objects from YouTube video transcripts (captions), each of a fixed duration. The metadata of each chunk `Document` includes the start time of each one and a URL to that time in the video on the YouTube website. I had implemented this for UMich (@umich-its-ai) in a local module, but it makes sense to contribute this to LangChain community for all to benefit and to simplify maintenance. - **Issue:** N/A - **Dependencies:** N/A - **Twitter:** lsloan_umich - **Mastodon:** [lsloan@mastodon.social](https://mastodon.social/@lsloan) With regards to **tests and documentation**, most existing features of the `YoutubeLoader` class are not tested. Only the `YoutubeLoader.extract_video_id()` static method had a test. However, while I was waiting for this PR to be reviewed and merged, I had time to add a test for the chunking feature I've proposed in this PR. I have added an example of using chunking to the `docs/docs/integrations/document_loaders/youtube_transcript.ipynb` notebook. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 weeks ago
Aayush Kataria	71811e0547	community[minor]: Adds a vector store for Azure Cosmos DB for NoSQL (#21676) ... This PR add supports for Azure Cosmos DB for NoSQL vector store. Summary: Description: added vector store integration for Azure Cosmos DB for NoSQL Vector Store, Dependencies: azure-cosmos dependency, Tag maintainer: @hwchase17, @baskaryan @efriis @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 weeks ago
Mohammad Mohtashim	36cad5d25c	[Community]: Added Metadata filter support for DocumentDB Vector Store (#22777) ... - **Description:** As pointed out in this issue #22770, DocumentDB `similarity_search` does not support filtering through metadata which this PR adds by passing in the parameter `filter`. Also this PR fixes a minor Documentation error. - **Issue:** #22770 --------- Co-authored-by: Erick Friis <erickfriis@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 weeks ago
Dmitry Stepanov	912751e268	Ollama vision support (#22734) ... **Description:** Ollama vision with messages in OpenAI-style support `{ "image_url": { "url": ... } }` **Issue:** #22460 Added flexible solution for ChatOllama to support chat messages with images. Works when you provide either `image_url` as a string or as a dict with "url" inside (like OpenAI does). So it makes available to use tuples with `ChatPromptTemplate.from_messages()` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 weeks ago
Philippe PRADOS	0908b01cb2	langchain[minor]: Add native async implementation to LLMFilter, add concurrency to both sync and async paths (#22739) ... Thank you for contributing to LangChain! - [ ] **PR title**: "langchain: Fix chain_filter.py to be compatible with async" - [ ] **PR message**: - **Description:** chain_filter is not compatible with async. - **Twitter handle:** pprados - [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/ --------- Signed-off-by: zhangwangda <zhangwangda94@163.com> Co-authored-by: Prakul <discover.prakul@gmail.com> Co-authored-by: Lei Zhang <zhanglei@apache.org> Co-authored-by: Gin <ictgtvt@gmail.com> Co-authored-by: wangda <38549158+daziz@users.noreply.github.com> Co-authored-by: Max Mulatz <klappradla@posteo.net>	4 weeks ago
Jaeyeon Kim(김재연)	ce4e29ae42	community[minor]: fix redis store docstring and streamline initialization code (#22730) ... Thank you for contributing to LangChain! ### Description Fix the example in the docstring of redis store. Change the initilization logic and remove redundant check, enhance error message. ### Issue The example in docstring of how to use redis store was wrong.  ### Dependencies Nothing - [ ] **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/ If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	4 weeks ago
am-kinetica	ad101adec8	community[patch]: Kinetica Integrations handled error in querying; quotes in table names; updated gpudb API (#22724) ... - [ ] **Miscellaneous updates and fixes**: - **Description:** Handled error in querying; quotes in table names; updated gpudb API - **Issue:** Threw an error with an error message difficult to understand if a query failed or returned no records - **Dependencies:** Updated GPUDB API version to `7.2.0.9` @baskaryan @hwchase17	4 weeks ago
NithinBairapaka	27b9ea14a5	docs: Updated integration docs with required package installations (#22392) ... **Title:** Updated integration docs with required package installations **Issue:** #22005	4 weeks ago
Albert Gil López	1710423de3	docs: correct path in readme (#22383) ... Description: Fix incorrect path in README instructions. Issue: N/A Dependencies: None Twitter handle: @jddam --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	4 weeks ago
Greg Tracy	7e115da16c	docs: Fix pixelation in stack graphic (#21554) ... This change updates the stack graphic displayed in the top-level README. The LangChain tile is pixelated in the current graphic.	4 weeks ago
Leonid Ganeline	55bd8e582b	docs: `integrations` cache: added class table (#22368) ... Added a table with the cache classes. See [this table here](https://langchain-rnpqvikie-langchain.vercel.app/v0.2/docs/integrations/llm_caching/#cache-classes-summary-table).	4 weeks ago
Jacob Lee	89804c3026	docs: Adds pointers from LLM pages to equivalent chat model pages (#22759) ... @baskaryan	4 weeks ago
Qingchuan Hao	7f180f996b	docs: fix langchain expression language link (#22683)	4 weeks ago
Mathis Joffre	ea43f40daf	community[minor]: Add support for OVHcloud AI Endpoints Embedding (#22667) ... **Description:** Add support for [OVHcloud AI Endpoints](https://endpoints.ai.cloud.ovh.net/) Embedding models. Inspired by: https://gist.github.com/gmasse/e1f99339e161f4830df6be5d0095349a Signed-off-by: Joffref <mariusjoffre@gmail.com>	4 weeks ago
Erick Friis	2aaf86ddae	core: fix mustache falsy cases (#22747)	4 weeks ago
Eugene Yurtsev	5a7eac191a	core[patch]: Add missing type annotations (#22756) ... Add missing type annotations. The missing type annotations will raise exceptions with pydantic 2.	4 weeks ago
Eugene Yurtsev	05d31a2f00	community[patch]: Add missing type annotations (#22758) ... Add missing type annotations to objects in community. These missing type annotations will raise type errors in pydantic 2.	4 weeks ago
Naka Masato	3237909221	langchain[patch]: allow to use partial variables in create_sql_query_chain (#22688) ... - **Description:** allow to use partial variables to pass `top_k` and `table_info` - **Issue:** no - **Dependencies:** no - **Twitter handle:** @gymnstcs --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 weeks ago
Bharat Ramanathan	2b5631a6be	community[patch]: fix `WandbTracer` to work with new "RunV2" API (#22673) ... - **Description:** This PR updates the `WandbTracer` to work with the new RunV2 API so that wandb Traces logging works correctly for new LangChain versions. Here's an example [run](https://wandb.ai/parambharat/langchain-tracing/runs/wpm99ftq) from the existing tests - **Issue:** https://github.com/wandb/wandb/issues/7762 - **Twitter handle:** @ParamBharat _If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17._	4 weeks ago
Oguz Vuruskaner	f0f4532579	community[patch]: fix deepinfra inference (#22680) ... This PR includes: 1. Update of default model to LLama3. 2. Handle some 400x errors with more user friendly error messages. 3. Handle user errors.	4 weeks ago
Lucas Tucker	cb79e80b0b	docs: standardize ChatHuggingFace (#22693) ... **Updated ChatHuggingFace doc string as per issue #22296**: "langchain_huggingface: updated docstring for ChatHuggingFace in langchain_huggingface to match that of the description (in the appendix) provided in issue #22296. " **Issue:** This PR is in response to issue #22296, and more specifically ChatHuggingFace model. In particular, this PR updates the docstring for langchain/libs/partners/hugging_face/langchain_huggingface/chat_models/huggingface.py by adding the following sections: Instantiate, Invoke, Stream, Async, Tool calling, and Response metadata. I used the template from the Anthropic implementation and referenced the Appendix of the original issue post. I also noted that: langchain_community hugging face llms do not work with langchain_huggingface's ChatHuggingFace model (at least for me); the .stream(messages) functionality of ChatHuggingFace only returned a block of response. --------- Co-authored-by: lucast2021 <lucast2021@headroyce.org> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 weeks ago
Erick Friis	d92f2251c8	docs: couchbase partner package (#22757)	4 weeks ago
Tomaz Bratanic	76a193decc	community[patch]: Add function response to graph cypher qa chain (#22690) ... LLMs struggle with Graph RAG, because it's different from vector RAG in a way that you don't provide the whole context, only the answer and the LLM has to believe. However, that doesn't really work a lot of the time. However, if you wrap the context as function response the accuracy is much better. btw... `union[LLMChain, Runnable]` is linting fun, that's why so many ignores	4 weeks ago
X-HAN	34edfe4a16	community[minor]: add Volcengine Rerank (#22700) ... **Description:** this PR adds Volcengine Rerank capability to Langchain, you can find Volcengine Rerank API from [here](https://www.volcengine.com/docs/84313/1254474) & [here](https://www.volcengine.com/docs/84313/1254605). [Volcengine](https://www.volcengine.com/) is a cloud service platform developed by ByteDance, the parent company of TikTok. You can obtain Volcengine API AK/SK from [here](https://www.volcengine.com/docs/84313/1254553). **Dependencies:** VolcengineRerank depends on `volcengine` python package. **Twitter handle:** my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thank you! **Tests and docs** 1. integration test: `test_volcengine_rerank.py` 2. example notebook: `volcengine_rerank.ipynb` **Lint and test**: I have run `make format`, `make lint` and `make test` from the root of the package I've modified.	4 weeks ago
Prakul	9eacce9356	docs:Update reference to langchain-mongodb (#22705) ... **Description**: Update reference to langchain-mongodb	4 weeks ago
Ikko Eltociear Ashimine	4197c9c85f	docs: update azure_container_apps_dynamic_sessions_data_analyst.ipynb (#22718) ... colum -> column	4 weeks ago
Jacob Lee	e4183cbc4e	docs[patch]: Add caution on OpenAI LLMs integration page (#22754) ... @baskaryan do we like? <img width="1040" alt="Screenshot 2024-06-10 at 12 16 45 PM" src="https://github.com/langchain-ai/langchain/assets/6952323/8893063f-1acf-4a56-9ee5-a8a2b1560277">	4 weeks ago
Mohammad Mohtashim	c3cce98d86	community[patch]: Small Fix in OutlookMessageLoader (Close the Message once Open) (#22744) ... - **Description:** A very small fix where we close the message when it opened - **Issue:** #22729	4 weeks ago
Bagatur	86a3f6edf1	docs: standardize ChatVertexAI (#22686) ... Part of #22296. Part two of https://github.com/langchain-ai/langchain-google/pull/287	4 weeks ago
ccurme	f9fdca6cc2	openai: add `parallel_tool_calls` to api ref (#22746) ... 	4 weeks ago
Max Mulatz	058a64c563	Community[minor]: Add language parser for Elixir (#22742) ... Hi 👋 First off, thanks a ton for your work on this 💚 Really appreciate what you're providing here for the community. ## Description This PR adds a basic language parser for the [Elixir](https://elixir-lang.org/) programming language. The parser code is based upon the approach outlined in https://github.com/langchain-ai/langchain/pull/13318: it's using `tree-sitter` under the hood and aligns with all the other `tree-sitter` based parses added that PR. The `CHUNK_QUERY` I'm using here is probably not the most sophisticated one, but it worked for my application. It's a starting point to provide "core" parsing support for Elixir in LangChain. It enables people to use the language parser out in real world applications which may then lead to further tweaking of the queries. I consider this PR just the ground work. - **Dependencies:** requires `tree-sitter` and `tree-sitter-languages` from the extended dependencies - **Twitter handle:**`@bitcrowd` ## Checklist - [x] **PR title**: "package: description" - [x] **Add tests and docs** - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. -->	4 weeks ago
wangda	28e956735c	docs:Correcting spelling mistakes in readme (#22664) ... Signed-off-by: zhangwangda <zhangwangda94@163.com>	4 weeks ago
Gin	6f54abc252	docs: Add a missing dot in concepts.mdx (#22677)	4 weeks ago
Philippe PRADOS	2d4689d721	langchain[minor]: Add pgvector to list of supported vectorstores in self query retriever (#22678) ... The fact that we outsourced pgvector to another project has an unintended effect. The mapping dictionary found by `_get_builtin_translator()` cannot recognize the new version of pgvector because it comes from another package. `SelfQueryRetriever` no longer knows `PGVector`. I propose to fix this by creating a global dictionary that can be populated by various database implementations. Thus, importing `langchain_postgres` will allow the registration of the `PGvector` mapping. But for the moment I'm just adding a lazy import Furthermore, the implementation of _get_builtin_translator() reconstructs the BUILTIN_TRANSLATORS variable with each invocation, which is not very efficient. A global map would be an optimization. - **Twitter handle:** pprados @eyurtsev, can you review this PR? And unlock the PR [Add async mode for pgvector](https://github.com/langchain-ai/langchain-postgres/pull/32) and PR [community[minor]: Add SQL storage implementation](https://github.com/langchain-ai/langchain/pull/22207)? Are you in favour of a global dictionary-based implementation of Translator?	4 weeks ago
Lei Zhang	5ba1899cd7	infra: Scheduled GitHub Actions to run only on the upstream repository (#22707) ... **Description:** Scheduled GitHub Actions to run only on the upstream repository **Issue:** Fixes #22706 **Twitter handle:** @coolbeevip	4 weeks ago
Prakul	3f76c9e908	docs: Update MongoDB information in llm_caching (#22708) ... **Description:**: Update MongoDB information in llm_caching	4 weeks ago
fzowl	c1fced9269	docs: VoyageAI new embedding and reranking models (#22719)	4 weeks ago
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	4 weeks 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>	1 month 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>	1 month 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>	1 month ago
Erick Friis	9b3ce16982	docs: remove nonexistent headings (#22685)	1 month 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`	1 month ago
Jacob Lee	02ff78deb8	docs[patch]: Adds LangGraph and LangSmith links, adds more crosslinks between pages (#22656) ... @baskaryan @hwchase17	1 month ago
Mateusz Szewczyk	c3a8716589	docs: Updated product version in Embeddings notebook (#22062)	1 month 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} ```	1 month ago
Bagatur	235d91940d	community[patch]: Release 0.2.4 (#22643)	1 month ago
Francesco Kruk	344adad056	docs: Update jina embedding notebook to include multimodal capability (#22594) ... After merging the [PR #22416 to include Jina AI multimodal capabilities](https://github.com/langchain-ai/langchain/pull/22416), we updated the Jina AI embedding notebook accordingly.	1 month ago