2516 Commits (80ed588733c42d93282c19701ffcc279ebc2ed55)

Author	SHA1	Message	Date
Hubert Yuan	80ed588733	docs[patch]: Update metaphor_search.ipynb (#14093) ... - **Description:** Touch up of the documentation page for Metaphor Search Tool integration. Removes documentation for old built-in tool wrapper. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Jacob Lee	3328507f11	langchain[patch], experimental[minor]: Adds OllamaFunctions wrapper (#13330) ... CC @baskaryan @hwchase17 @jmorganca Having a bit of trouble importing `langchain_experimental` from a notebook, will figure it out tomorrow ~Ah and also is blocked by #13226~ --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Rohan Dey	41a4c06a94	Added support for a Pandas DataFrame OutputParser (#13257) ... **Description:** Added support for a Pandas DataFrame OutputParser with format instructions, along with unit tests and a demo notebook. Namely, we've added the ability to request data from a DataFrame, have the LLM parse the request, and then use that request to retrieve a well-formatted response. Within LangChain, it seamlessly integrates with language models like OpenAI's `text-davinci-003`, facilitating streamlined interaction using the format instructions (just like the other output parsers). This parser structures its requests as `<operation/column/row>[<optional_array_params>]`. The instructions detail permissible operations, valid columns, and array formats, ensuring clarity and adherence to the required format. For example: - When the LLM receives the input: "Retrieve the mean of `num_legs` from rows 1 to 3." - The provided format instructions guide the LLM to structure the request as: "mean:num_legs[1..3]". The parser processes this formatted request, leveraging the LLM's understanding to extract the mean of `num_legs` from rows 1 to 3 within the Pandas DataFrame. This integration allows users to communicate requests naturally, with the LLM transforming these instructions into structured commands understood by the `PandasDataFrameOutputParser`. The format instructions act as a bridge between natural language queries and precise DataFrame operations, optimizing communication and data retrieval. **Issue:** - https://github.com/langchain-ai/langchain/issues/11532 **Dependencies:** No additional dependencies :) **Tag maintainer:** @baskaryan **Twitter handle:** No need. :) --------- Co-authored-by: Wasee Alam <waseealam@protonmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
Masanori Taniguchi	235bdb9fa7	Support Vald secure connection (#13269) ... **Description:** When using Vald, only insecure grpc connection was supported, so secure connection is now supported. In addition, grpc metadata can be added to Vald requests to enable authentication with a token. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Nico Puhlmann	54355b651a	Update index.mdx (#13285) ... grammar correction <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
AthulVincent	67c55cb5b0	Implemented MongoDB Atlas Self-Query Retriever (#13321) ... # Description This PR implements Self-Query Retriever for MongoDB Atlas vector store. I've implemented the comparators and operators that are supported by MongoDB Atlas vector store according to the section titled "Atlas Vector Search Pre-Filter" from https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/. Namely: ``` allowed_comparators = [ Comparator.EQ, Comparator.NE, Comparator.GT, Comparator.GTE, Comparator.LT, Comparator.LTE, Comparator.IN, Comparator.NIN, ] """Subset of allowed logical operators.""" allowed_operators = [ Operator.AND, Operator.OR ] ``` Translations from comparators/operators to MongoDB Atlas filter operators(you can find the syntax in the "Atlas Vector Search Pre-Filter" section from the previous link) are done using the following dictionary: ``` map_dict = { Operator.AND: "$and", Operator.OR: "$or", Comparator.EQ: "$eq", Comparator.NE: "$ne", Comparator.GTE: "$gte", Comparator.LTE: "$lte", Comparator.LT: "$lt", Comparator.GT: "$gt", Comparator.IN: "$in", Comparator.NIN: "$nin", } ``` In visit_structured_query() the filters are passed as "pre_filter" and not "filter" as in the MongoDB link above since langchain's implementation of MongoDB atlas vector store(libs\langchain\langchain\vectorstores\mongodb_atlas.py) in _similarity_search_with_score() sets the "filter" key to have the value of the "pre_filter" argument. ``` params["filter"] = pre_filter ``` Test cases and documentation have also been added. # Issue #11616 # Dependencies No new dependencies have been added. # Documentation I have created the notebook mongodb_atlas_self_query.ipynb outlining the steps to get the self-query mechanism working. I worked closely with [@Farhan-Faisal](https://github.com/Farhan-Faisal) on this PR. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Mohammad Mohtashim	f3dd4a10cf	DROP BOX Loader Documentation Update (#14047) ... - **Description:** Update the document for drop box loader + made the messages more verbose when loading pdf file since people were getting confused - **Issue:** #13952 - **Tag maintainer:** @baskaryan, @eyurtsev, @hwchase17, --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Cheng (William) Huang	a00db4b28f	Add multi-input Reddit search tool (#13893) ... - **Description:** Added a tool called RedditSearchRun and an accompanying API wrapper, which searches Reddit for posts with support for time filtering, post sorting, query string and subreddit filtering. - **Issue:** #13891 - **Dependencies:** `praw` module is used to search Reddit - **Tag maintainer:** @baskaryan , and any of the other maintainers if needed - **Twitter handle:** None. Hello, This is our first PR and we hope that our changes will be helpful to the community. We have run `make format`, `make lint` and `make test` locally before submitting the PR. To our knowledge, our changes do not introduce any new errors. Our PR integrates the `praw` package which is already used by RedditPostsLoader in LangChain. Nonetheless, we have added integration tests and edited unit tests to test our changes. An example notebook is also provided. These changes were put together by me, @Anika2000, @CharlesXu123, and @Jeremy-Cheng-stack Thank you in advance to the maintainers for their time. --------- Co-authored-by: What-Is-A-Username <49571870+What-Is-A-Username@users.noreply.github.com> Co-authored-by: Anika2000 <anika.sultana@mail.utoronto.ca> Co-authored-by: Jeremy Cheng <81793294+Jeremy-Cheng-stack@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
Jawad Arshad	00a6e8962c	langchain[minor]: Add serpapi tools (#13934) ... - **Description:** Added some of the more endpoints supported by serpapi that are not suported on langchain at the moment, like google trends, google finance, google jobs, and google lens - **Issue:** [Add support for many of the querying endpoints with serpapi #11811](https://github.com/langchain-ai/langchain/issues/11811) --------- Co-authored-by: zushenglu <58179949+zushenglu@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Ian Xu <ian.xu@mail.utoronto.ca> Co-authored-by: zushenglu <zushenglu1809@gmail.com> Co-authored-by: KevinT928 <96837880+KevinT928@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
h3l	dbaeb163aa	langchain[minor]: add volcengine endpoint as LLM (#13942) ... - **Description:** Volc Engine MaaS serves as an enterprise-grade, large-model service platform designed for developers. You can visit its homepage at https://www.volcengine.com/docs/82379/1099455 for details. This change will facilitate developers to integrate quickly with the platform. - **Issue:** None - **Dependencies:** volcengine - **Tag maintainer:** @baskaryan - **Twitter handle:** @he1v3tica --------- Co-authored-by: lvzhong <lvzhong@bytedance.com>	10 months ago
Tomaz Bratanic	3eb391561b	langchain[minor]: Reduce the number of tokens required to describe a Cypher/Neo4j schema (#13851) ... Instead of using JSON-like syntax to describe node and relationship properties we changed to a shorter and more concise schema description Old: ``` Node properties are the following: [{'properties': [{'property': 'name', 'type': 'STRING'}], 'labels': 'Movie'}, {'properties': [{'property': 'name', 'type': 'STRING'}], 'labels': 'Actor'}] Relationship properties are the following: [] The relationships are the following: ['(:Actor)-[:ACTED_IN]->(:Movie)'] ``` New: ``` Node properties are the following: Movie {name: STRING},Actor {name: STRING} Relationship properties are the following: The relationships are the following: (:Actor)-[:ACTED_IN]->(:Movie) ```	10 months ago
Sauhaard	7ec4dbeb80	langchain[minor]: Add StackExchange API integration (#14002) ... Implements [#12115](https://github.com/langchain-ai/langchain/issues/12115) Who can review? @baskaryan , @eyurtsev , @hwchase17 Integrated Stack Exchange API into Langchain, enabling access to diverse communities within the platform. This addition enhances Langchain's capabilities by allowing users to query Stack Exchange for specialized information and engage in discussions. The integration provides seamless interaction with Stack Exchange content, offering content from varied knowledge repositories. A notebook example and test cases were included to demonstrate the functionality and reliability of this integration. - Add StackExchange as a tool. - Add unit test for the StackExchange wrapper and tool. - Add documentation for the StackExchange wrapper and tool. If you have time, could you please review the code and provide any feedback as necessary! My team is welcome to any suggestions. --------- Co-authored-by: Yuval Kamani <yuvalkamani@gmail.com> Co-authored-by: Aryan Thakur <aryanthakur@Aryans-MacBook-Pro.local> Co-authored-by: Manas1818 <79381912+manas1818@users.noreply.github.com> Co-authored-by: aryan-thakur <61063777+aryan-thakur@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Anton Romanov	4964278ce4	docs[patch]: Update typo in map.ipynb (#14030) ... fix the typo in docs, using "with" instead of "when"	10 months ago
Richie	1cd9d5f332	docs[patch]: fix typo langchain version for mongodb integration (#14006) ... - **Description:** update minimal supported langchain version for [mongodb atlast integration webpage](https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas) - **Issue:** none - **Dependencies:** none ----- Just fixing a typo. In [mongodb atlas vectorstore integration page](https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas), `langchain` support for `$vectorSearch MQL stage` should be `0.0.305` rather than `0.0.35`	10 months ago
Piotr Ząbek	d0b818b634	DOCS: added missing imports (#13736) (#13737) ... - **Description:** Fixed missing imports in docs - **Issue:** [#13736](https://github.com/langchain-ai/langchain/issues/13736) - **Dependencies:** N/A	10 months ago
Yusuf Khan	0bc7c1b5b4	Add Outline provider doc (#13938) ... - **Description:** Added a provider doc to `docs/integrations/providers` for the new Outline integration in #13889 - **Tag maintainer:** @baskaryan	10 months ago
colton	643d28847d	[docs] fix reduce prompt in summarization example (#13726) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Small fix to _summarization_ example, `reduce_template` should use `{docs}` variable. Bug likely introduced as following code suggests using `hub.pull("rlm/map-prompt")` instead of defined prompt.	10 months ago
Leonid Ganeline	5c28bb63dd	docs `microsoft` page updates (#14000) ... The Excel, PowerPoint and SharePoint document loaders were missed in the `Microsoft` platform page. - added these references	10 months ago
Leonid Ganeline	15b32cfcd4	docs `OpenAI` platform page update (#14001) ... Missed the OpenAI adapter reference in the OpenAI platform page - Added this reference	10 months ago
WaseemH	a47f1da884	docs[patch]: RAG Cookbook example fix (#13914) ... ### Description: Hey 👋🏽 this is a small docs example fix. Hoping it helps future developers who are working with Langchain. ### Problem: Take a look at the original example code. You were not able to get the `dialogue_turn[0]` while it was a tuple. Original code: ```python def _format_chat_history(chat_history: List[Tuple]) -> str: buffer = "" for dialogue_turn in chat_history: human = "Human: " + dialogue_turn[0] ai = "Assistant: " + dialogue_turn[1] buffer += "\n" + "\n".join([human, ai]) return buffer ``` In the original code you were getting this error: ```bash human = "Human: " + dialogue_turn[0].content ~~~~~~~~~~~~~^^^ TypeError: 'HumanMessage' object is not subscriptable ``` ### Solution: The fix is to just for loop over the chat history and look to see if its a human or ai message and add it to the buffer.	10 months ago
Bagatur	14799b139a	infra[patch]: add base deps and fix docs lint (#13998)	10 months ago
Leonid Ganeline	52eee458bb	renamed `google_vertex_ai_vector_search` notebook (#13484) ... The `integrations/vectorstores/matchingengine.ipynb` example has the "Google Vertex AI Vector Search" title. This place this Title in the wrong order in the ToC (it is sorted by the file name). - Renamed `integrations/vectorstores/matchingengine.ipynb` into `integrations/vectorstores/google_vertex_ai_vector_search.ipynb`. - Updated a correspondent comment in docstring - Rerouted old URL to a new URL --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Leonid Ganeline	f5326cfb4e	docs[patch]: link to LangSmith docs (#13740) ... It happens that there is no link to the LangSmith Docs from the LangChain Docs. Added this link	10 months ago
Leonid Ganeline	1ab8a14742	docs[patch]: top menu (#13748) ... Addressed this issue with the top menu: It allocates too much space. If the screen is small, then the top menu items are split into two lines and look unreadable. Another issue is with several top menu items: "Chat our docs" and "Also by LangChain". They are compound of several words which also hurts readability. The top menu items should be 1-word size. Updates: - "Chat our docs" -> "Chat" (the meaning is clean after clicking/opening the item) - "Also by LangChain" -> "🦜️🔗" - "🦜️🔗" moved before "Chat" item. This new item is partially copied from the first left item, the "🦜️🔗 LangChain". This design (with two 🦜️🔗 elements, visually splits the top menu into two parts. The first item in each part holds the 🦜️🔗 symbols and, when we click the second 🦜️🔗 item, it opens the drop-down menu. So, we've got two visually similar parts, which visually split the top menu on the right side: the LangChain Docs (and Doc-related items) and the lift side: other LangChain.ai (company) products/docs.	10 months ago
Taqi Jaffri	144710ad9a	langchain[minor]: Updated DocugamiLoader, includes breaking changes (#13265) ... There are the following main changes in this PR: 1. Rewrite of the DocugamiLoader to not do any XML parsing of the DGML format internally, and instead use the `dgml-utils` library we are separately working on. This is a very lightweight dependency. 2. Added MMR search type as an option to multi-vector retriever, similar to other retrievers. MMR is especially useful when using Docugami for RAG since we deal with large sets of documents within which a few might be duplicates and straight similarity based search doesn't give great results in many cases. We are @docugami on twitter, and I am @tjaffri --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	10 months ago
Bagatur	95a472a85f	docs[patch]: install local core (#13990)	10 months ago
Bagatur	61ec71064a	docs[patch]: update stack diagram (#13902)	10 months ago
david qiu	9fb6805be4	langchain[minor]: Add retriever for Knowledge Bases for Amazon Bedrock (#13980) ... - **Description:** Adds a retriever implementation for [Knowledge Bases for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/), a new service announced at AWS re:Invent, shortly before this PR was opened. This depends on the `bedrock-agent-runtime` service, which will be included in a future version of `boto3` and of `botocore`. We will open a follow-up PR documenting the minimum required versions of `boto3` and `botocore` after that information is available. - **Issue:** N/A - **Dependencies:** `boto3>=1.33.2, botocore>=1.33.2` - **Tag maintainer:** @baskaryan - **Twitter handles:** `@pjain7` `@dead_letter_q` This PR includes a documentation notebook under `docs/docs/integrations/retrievers`, which I (@dlqqq) have verified independently. EDIT: `bedrock-agent-runtime` service is now included in `boto3>=1.33.2`: 5cf793f493 --------- Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Varun	14cc907d35	Update the stable docs link (#13798) ... - **Description:** Point to the stable version of documentation, - **Twitter handle:** varunzxzx	10 months ago
Amélie	d2cad53ec0	Fix broken link on Meilisearch vector-store documentation (#13604) ... - **Description:** dead link replacement - **Issue:** no open issue **Note:** Hi langchain team, Sorry to open a PR for this concern but we realized that one of the links present in the documentation booklet was broken 😄	10 months ago
Rihards Gravis	9e017ff6ba	docs[patch]: Reduce largest static image file size (#13508) ... - **Description:** Reduce image asset file size used in documentation by running them via lossless image optimization ([tinypng](https://www.npmjs.com/package/tinypng-cli) was used in this case). Images wider than 1916px (the maximum width of an image displayed in documentation) where downsized. - **Issue:** No issue is created for this, but the large image file assets caused slow documentation load times - **Dependencies:** No dependencies affected	10 months ago
Michael Feil	686162670e	langchain[minor]: Adding `infinity` embedding integration. (#13928) ... This adds integation to https://github.com/michaelfeil/infinity. Users requested it in https://github.com/michaelfeil/infinity/issues/36 @saatvikshah Follows my implementation of gradient.ai. Feedback 1: Well done - I love your CI / repo / poetry setup - I adapted a lot in https://github.com/michaelfeil/infinity. Feedback 2: Not so good: The openai integration contains to much reverse engineering - in general projects such as michaelfeil/infinity and huggingface/text-embeddings-inference are compatible to the `pip install openai` package. Reverse engineering like this one is really hindering the use for me: 8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L347) 8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L351) - it is about preventing 3rd party providers to use the same url + uses interfaces of openai, that are not publically documented.	10 months ago
Oleksandr Yaremchuk	c0277d06e8	experimental[patch] Update prompt injection model (#13930) ... - **Description:** Existing model used for Prompt Injection is quite outdated but we fine-tuned and open-source a new model based on the same model deberta-v3-base from Microsoft - [laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection). It supports more up-to-date injections and less prone to false-positives. - **Dependencies:** No - **Tag maintainer:** - - **Twitter handle:** @alex_yaremchuk --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Leonid Ganeline	e47b9c5285	DOCS: move `adapters` to integrations (#13862) ... Current docs for adapters are in the `Guides/Adapters which is not a good place. - moved Adapters into `Integratons/Components/Adapters/ - simplified the OpenAI adapter notebook - rerouted the old OpenAI adapter page URL to a new one.	10 months ago
Manuel Riezebosch	92b07ecaf3	DOCS: fix link to question answering (#13806) ... first link in [overview](https://python.langchain.com/docs/use_cases/question_answering/code_understanding#overview)	10 months ago
Chengzu Ou	4b8e053fe8	FEATURE: Add Databricks Vector Search as a new vector store (#13621) ... **Description:** This PR adds Databricks Vector Search as a new vector store in LangChain. - [x] Add `DatabricksVectorSearch` in `langchain/vectorstores/` - [x] Unit tests - [x] Add [`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/) as a new optional dependency We ran the following checks: - `make format` passed ✅ - `make lint` failed but the failures were caused by other files + Files touched by this PR passed the linter ✅ - `make test` passed ✅ - `make coverage` failed but the failures were caused by other files. Tests added by or related to this PR all passed + langchain/vectorstores/databricks_vector_search.py test coverage 94% ✅ - `make spell_check` passed ✅ The example notebook and updates to the [provider's documentation page](https://github.com/langchain-ai/langchain/blob/master/docs/docs/integrations/providers/databricks.md) will be added later in a separate PR. **Dependencies:** Optional dependency: [`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Dylan Williams	1983a39894	FEATURE: Add OneNote document loader (#13841) ... - **Description:** Added OneNote document loader - **Issue:** #12125 - **Dependencies:** msal Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Ikko Eltociear Ashimine	ff7d4d9c0b	Update llamacpp.ipynb (#13840) ... specifed -> specified	10 months ago
Sᴜᴘᴇʀ Lᴇᴇ	e42e95cc11	docs: fix link to `local_retrieval_qa` (#13872) ... \The original link in [this section](https://python.langchain.com/docs/use_cases/question_answering/#:~:text=locally%2Drunning%20models-,here,-.): https://python.langchain.com/docs/modules/use_cases/question_answering/local_retrieval_qa After fix: https://python.langchain.com/docs/use_cases/question_answering/local_retrieval_qa	10 months ago
Yusuf Khan	935f78c944	FEATURE: Add retriever for Outline (#13889) ... - **Description:** Added a retriever for the Outline API to ask questions on knowledge base - **Issue:** resolves #11814 - **Dependencies:** None - **Tag maintainer:** @baskaryan	10 months ago
ggeutzzang	f2af82058f	DOCS: Fix Sample Code for Compatibility with Pydantic 2.0 (#13890) ... - **Description:** I encountered an issue while running the existing sample code on the page https://python.langchain.com/docs/modules/agents/how_to/agent_iter in an environment with Pydantic 2.0 installed. The following error was triggered: ```python ValidationError Traceback (most recent call last) <ipython-input-12-2ffff2c87e76> in <cell line: 43>() 41 42 tools = [ ---> 43 Tool( 44 name="GetPrime", 45 func=get_prime, 2 frames /usr/local/lib/python3.10/dist-packages/pydantic/v1/main.py in __init__(__pydantic_self__, **data) 339 values, fields_set, validation_error = validate_model(__pydantic_self__.__class__, data) 340 if validation_error: --> 341 raise validation_error 342 try: 343 object_setattr(__pydantic_self__, '__dict__', values) ValidationError: 1 validation error for Tool args_schema subclass of BaseModel expected (type=type_error.subclass; expected_class=BaseModel) ``` I have made modifications to the example code to ensure it functions correctly in environments with Pydantic 2.0.	10 months ago
Stefano Lottini	19c68c7652	FEATURE: Astra DB, LLM cache classes (exact-match and semantic cache) (#13834) ... This PR provides idiomatic implementations for the exact-match and the semantic LLM caches using Astra DB as backend through the database's HTTP JSON API. These caches require the `astrapy` library as dependency. Comes with integration tests and example usage in the `llm_cache.ipynb` in the docs. @baskaryan this is the Astra DB counterpart for the Cassandra classes you merged some time ago, tagging you for your familiarity with the topic. Thank you! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Stefano Lottini	272df9dcae	Astra DB, chat message history (#13836) ... This PR adds a chat message history component that uses Astra DB for persistence through the JSON API. The `astrapy` package is required for this class to work. I have added tests and a small notebook, and updated the relevant references in the other docs pages. (@rlancemartin this is the counterpart of the Cassandra equivalent class you so helpfully reviewed back at the end of June) Thank you!	10 months ago
Bagatur	23566cbea9	DOCS: core editable dep api refs (#13747)	10 months ago
Bagatur	3d28c1a9e0	DOCS: fix core api ref build (#13744)	10 months ago
Harrison Chase	d82cbf5e76	Separate out langchain_core package (#13577) ... Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Bagatur	4eec47b191	DOCS: update rag use case images (#13615)	10 months ago
Sijun He	674bd90a47	DOCS: Fix typo in MongoDB memory docs (#13588) ... - **Description:** Fix typo in MongoDB memory docs - **Tag maintainer:** @eyurtsev <!-- Thank you for contributing to LangChain! - **Description:** Fix typo in MongoDB memory docs - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** @baskaryan - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
jwbeck97	a93616e972	FEAT: Add azure cognitive health tool (#13448) ... - **Description:** This change adds an agent to the Azure Cognitive Services toolkit for identifying healthcare entities - **Dependencies:** azure-ai-textanalytics (Optional) --------- Co-authored-by: James Beck <James.Beck@sa.gov.au> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
John Mai	16f7912e1b	BUG: fix hunyuan appid type (#13496) ... - **Description: fix hunyuan appid type - **Issue: https://github.com/langchain-ai/langchain/pull/12022#issuecomment-1815627855	10 months ago