langchain

Commit Graph

Author	SHA1	Message	Date
Leonid Ganeline	77ae8084a0	docstrings `document_loaders` 1 (#6847 ) - Updated docstrings in `document_loaders` - several code fixes. - added `docs/extras/ecosystem/integrations/airtable.md` @rlancemartin, @eyurtsev	1 year ago
Bagatur	7acd524210	Rm retriever kwargs (#7013 ) Doesn't actually limit the Retriever interface but hopefully in practice it does	1 year ago
Johnny Lim	9dc77614e3	Polish reference docs (#7045 ) This PR fixes broken links in the reference docs.	1 year ago
Johnny Lim	052c797429	Fix typo (#7023 ) This PR fixes a typo.	1 year ago
Stefano Lottini	8d2281a8ca	Second Attempt - Add concurrent insertion of vector rows in the Cassandra Vector Store (#7017 ) Retrying with the same improvements as in #6772, this time trying not to mess up with branches. @rlancemartin doing a fresh new PR from a branch with a new name. This should do. Thank you for your help! --------- Co-authored-by: Jonathan Ellis <jbellis@datastax.com> Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Matt Robinson	0498dad562	feat: enable `UnstructuredEmailLoader` to process attachments (#6977 ) ### Summary Updates `UnstructuredEmailLoader` so that it can process attachments in addition to the e-mail content. The loader will process attachments if the `process_attachments` kwarg is passed when the loader is instantiated. ### Testing ```python file_path = "fake-email-attachment.eml" loader = UnstructuredEmailLoader( file_path, mode="elements", process_attachments=True ) docs = loader.load() docs[-1] ``` ### Reviewers - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Matthew Foster Walsh	59697b406d	Fix typo in quickstart.mdx (#6985 ) Removed an extra "to" from a sentence. @dev2049 very minor documentation fix.	1 year ago
Paul Grillenberger	aa37b10b28	Fix: Correct typo (#6988 ) Description: Correct a minor typo in the docs. @dev2049	1 year ago
Zander Chase	b0859c9b18	Add New Retriever Interface with Callbacks (#5962 ) Handle the new retriever events in a way that (I think) is entirely backwards compatible? Needs more testing for some of the chain changes and all. This creates an entire new run type, however. We could also just treat this as an event within a chain run presumably (same with memory) Adds a subclass initializer that upgrades old retriever implementations to the new schema, along with tests to ensure they work. First commit doesn't upgrade any of our retriever implementations (to show that we can pass the tests along with additional ones testing the upgrade logic). Second commit upgrades the known universe of retrievers in langchain. - [X] Add callback handling methods for retriever start/end/error (open to renaming to 'retrieval' if you want that) - [X] Update BaseRetriever schema to support callbacks - [X] Tests for upgrading old "v1" retrievers for backwards compatibility - [X] Update existing retriever implementations to implement the new interface - [X] Update calls within chains to .{a]get_relevant_documents to pass the child callback manager - [X] Update the notebooks/docs to reflect the new interface - [X] Test notebooks thoroughly Not handled: - Memory pass throughs: retrieval memory doesn't have a parent callback manager passed through the method --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	1 year ago
William FH	a5b206caf3	Remove Promptlayer Notebook (#6996 ) It's breaking our docs build	1 year ago
Daniel Chalef	b26cca8008	Zep Authentication (#6728 ) ## Description: Add Zep API Key argument to ZepChatMessageHistory and ZepRetriever - correct docs site links - add zep api_key auth to constructors ZepChatMessageHistory: @hwchase17, ZepRetriever: @rlancemartin, @eyurtsev	1 year ago
William FH	e4625846e5	Add Flyte Callback Handler (#6139 ) (#6986 ) Signed-off-by: Samhita Alla <aallasamhita@gmail.com> Co-authored-by: Samhita Alla <aallasamhita@gmail.com>	1 year ago
Davis Chase	eb180e321f	Page per class-style api reference (#6560 ) can make it prettier, but what do we think of overall structure? https://api.python.langchain.com/en/dev2049-page_per_class/api_ref.html --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
William FH	64039b9f11	Promptlayer Callback (#6975 ) Co-authored-by: Saleh Hindi <saleh.hindi.one@gmail.com> Co-authored-by: jped <jonathanped@gmail.com>	1 year ago
William FH	13c62cf6b1	Arthur Callback (#6972 ) Co-authored-by: Max Cembalest <115359769+arthuractivemodeling@users.noreply.github.com>	1 year ago
William FH	8c73037dff	Simplify eval arg names (#6944 ) It'll be easier to switch between these if the names of predictions are consistent	1 year ago
Davis Chase	bd6a0ee9e9	Redirect vecstores (#6948 )	1 year ago
Davis Chase	f780678910	Add back in clickhouse mongo vecstore notebooks (#6949 )	1 year ago
Jacob Lee	73831ef3d8	Change code block color scheme (#6945 ) Adds contrast, makes code blocks more readable.	1 year ago
Hashem Alsaket	5861770a53	Updated QA notebook (#6801 ) Description: `all_metadatas` was not defined, `OpenAIEmbeddings` was not imported, Issue: #6723 the issue # it fixes (if applicable), Dependencies: lark, Tag maintainer: @vowelparrot , @dev2049 --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Kacper Łukawski	140ba682f1	Support named vectors in Qdrant (#6871 ) # Description This PR makes it possible to use named vectors from Qdrant in Langchain. That was requested multiple times, as people want to reuse externally created collections in Langchain. It doesn't change anything for the existing applications. The changes were covered with some integration tests and included in the docs. ## Example ```python Qdrant.from_documents( docs, embeddings, location=":memory:", collection_name="my_documents", vector_name="custom_vector", ) ``` ### Issue: #2594 Tagging @rlancemartin & @eyurtsev. I'd appreciate your review.	1 year ago
corranmac	20c6ade2fc	Grobid parser for Scientific Articles from PDF (#6729 ) ### Scientific Article PDF Parsing via Grobid `Description:` This change adds the GrobidParser class, which uses the Grobid library to parse scientific articles into a universal XML format containing the article title, references, sections, section text etc. The GrobidParser uses a local Grobid server to return PDFs document as XML and parses the XML to optionally produce documents of individual sentences or of whole paragraphs. Metadata includes the text, paragraph number, pdf relative bboxes, pages (text may overlap over two pages), section title (Introduction, Methodology etc), section_number (i.e 1.1, 2.3), the title of the paper and finally the file path. Grobid parsing is useful beyond standard pdf parsing as it accurately outputs sections and paragraphs within them. This allows for post-fitering of results for specific sections i.e. limiting results to the methodology section or results. While sections are split via headings, ideally they could be classified specifically into introduction, methodology, results, discussion, conclusion. I'm currently experimenting with chatgpt-3.5 for this function, which could later be implemented as a textsplitter. `Dependencies:` For use, the grobid repo must be cloned and Java must be installed, for colab this is: ``` !apt-get install -y openjdk-11-jdk -q !update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java !git clone https://github.com/kermitt2/grobid.git os.environ["JAVA_HOME"] = "/usr/lib/jvm/java-11-openjdk-amd64" os.chdir('grobid') !./gradlew clean install ``` Once installed the server is ran on localhost:8070 via ``` get_ipython().system_raw('nohup ./gradlew run > grobid.log 2>&1 &') ``` @rlancemartin, @eyurtsev Twitter Handle: @Corranmac Grobid Demo Notebook is [here](https://colab.research.google.com/drive/1X-St_mQRmmm8YWtct_tcJNtoktbdGBmd?usp=sharing). --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Harrison Chase	0ba175e13f	move octo notebook (#6901 )	1 year ago
Stefano Lottini	75fb9d2fdc	Cassandra support for chat history using CassIO library (#6771 ) ### Overview This PR aims at building on #4378, expanding the capabilities and building on top of the `cassIO` library to interface with the database (as opposed to using the core drivers directly). Usage of `cassIO` (a library abstracting Cassandra access for ML/GenAI-specific purposes) is already established since #6426 was merged, so no new dependencies are introduced. In the same spirit, we try to uniform the interface for using Cassandra instances throughout LangChain: all our appreciation of the work by @jj701 notwithstanding, who paved the way for this incremental work (thank you!), we identified a few reasons for changing the way a `CassandraChatMessageHistory` is instantiated. Advocating a syntax change is something we don't take lighthearted way, so we add some explanations about this below. Additionally, this PR expands on integration testing, enables use of Cassandra's native Time-to-Live (TTL) features and improves the phrasing around the notebook example and the short "integrations" documentation paragraph. We would kindly request @hwchase to review (since this is an elaboration and proposed improvement of #4378 who had the same reviewer). ### About the __init__ breaking changes There are [many](https://docs.datastax.com/en/developer/python-driver/3.28/api/cassandra/cluster/) options when creating the `Cluster` object, and new ones might be added at any time. Choosing some of them and exposing them as `__init__` parameters `CassandraChatMessageHistory` will prove to be insufficient for at least some users. On the other hand, working through `kwargs` or adding a long, long list of arguments to `__init__` is not a desirable option either. For this reason, (as done in #6426), we propose that whoever instantiates the Chat Message History class provide a Cassandra `Session` object, ready to use. This also enables easier injection of mocks and usage of Cassandra-compatible connections (such as those to the cloud database DataStax Astra DB, obtained with a different set of init parameters than `contact_points` and `port`). We feel that a breaking change might still be acceptable since LangChain is at `0.*`. However, while maintaining that the approach we propose will be more flexible in the future, room could be made for a "compatibility layer" that respects the current init method. Honestly, we would to that only if there are strong reasons for it, as that would entail an additional maintenance burden. ### Other changes We propose to remove the keyspace creation from the class code for two reasons: first, production Cassandra instances often employ RBAC so that the database user reading/writing from tables does not necessarily (and generally shouldn't) have permission to create keyspaces, and second that programmatic keyspace creation is not a best practice (it should be done more or less manually, with extra care about schema mismatched among nodes, etc). Removing this (usually unnecessary) operation from the `__init__` path would also improve initialization performance (shorter time). We suggest, likewise, to remove the `__del__` method (which would close the database connection), for the following reason: it is the recommended best practice to create a single Cassandra `Session` object throughout an application (it is a resource-heavy object capable to handle concurrency internally), so in case Cassandra is used in other ways by the app there is the risk of truncating the connection for all usages when the history instance is destroyed. Moreover, the `Session` object, in typical applications, is best left to garbage-collect itself automatically. As mentioned above, we defer the actual database I/O to the `cassIO` library, which is designed to encode practices optimized for LLM applications (among other) without the need to expose LangChain developers to the internals of CQL (Cassandra Query Language). CassIO is already employed by the LangChain's Vector Store support for Cassandra. We added a few more connection options in the companion notebook example (most notably, Astra DB) to encourage usage by anyone who cannot run their own Cassandra cluster. We surface the `ttl_seconds` option for automatic handling of an expiration time to chat history messages, a likely useful feature given that very old messages generally may lose their importance. We elaborated a bit more on the integration testing (Time-to-live, separation of "session ids", ...). ### Remarks from linter & co. We reinstated `cassio` as a dependency both in the "optional" group and in the "integration testing" group of `pyproject.toml`. This might not be the right thing do to, in which case the author of this PR offer his apologies (lack of confidence with Poetry - happy to be pointed in the right direction, though!). During linter tests, we were hit by some errors which appear unrelated to the code in the PR. We left them here and report on them here for awareness: ``` langchain/vectorstores/mongodb_atlas.py:137: error: Argument 1 to "insert_many" of "Collection" has incompatible type "List[Dict[str, Sequence[object]]]"; expected "Iterable[Union[MongoDBDocumentType, RawBSONDocument]]" [arg-type] langchain/vectorstores/mongodb_atlas.py:186: error: Argument 1 to "aggregate" of "Collection" has incompatible type "List[object]"; expected "Sequence[Mapping[str, Any]]" [arg-type] langchain/vectorstores/qdrant.py:16: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:19: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:20: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:22: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:23: error: Name "grpc" is not defined [name-defined] ``` In the same spirit, we observe that to even get `import langchain` run, it seems that a `pip install bs4` is missing from the minimal package installation path. Thank you!	1 year ago
Harrison Chase	3ac08c3de4	Harrison/octo ml (#6897 ) Co-authored-by: Bassem Yacoube <125713079+AI-Bassem@users.noreply.github.com> Co-authored-by: Shotaro Kohama <khmshtr28@gmail.com> Co-authored-by: Rian Dolphin <34861538+rian-dolphin@users.noreply.github.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Shashank Deshpande <shashankdeshpande18@gmail.com>	1 year ago
Shashank Deshpande	99cfe192da	added example notebook - use custom functions with openai agent (#6865 ) <!-- Thank you for contributing to LangChain! Replace this 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! 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Robert Lewis	c9c8d2599e	Update Zapier Jupyter notebook to include brief OAuth example (#6892 ) Description: Adds a brief example of using an OAuth access token with the Zapier wrapper. Also links to the Zapier documentation to learn more about OAuth flows. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	f07dd02b50	Docs /redirects (#6790 ) Auto-generated a bunch of redirects from initial docs refactor commit	1 year ago
Yaohui Wang	9d1bd18596	feat (documents): add LarkSuite document loader (#6420 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> ### Summary This PR adds a LarkSuite (FeiShu) document loader. > [LarkSuite](https://www.larksuite.com/) is an enterprise collaboration platform developed by ByteDance. ### Tests - an integration test case is added - an example notebook showing usage is added. [Notebook preview](https://github.com/yaohui-wyh/langchain/blob/master/docs/extras/modules/data_connection/document_loaders/integrations/larksuite.ipynb) <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> ### Who can review? - PTAL @eyurtsev @hwchase17 <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Yaohui Wang <wangyaohui.01@bytedance.com>	1 year ago
Jingsong Gao	a435a436c1	feat(document_loaders): add tencent cos directory and file loader (#6401 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> - add tencent cos directory and file support for document-loader #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? @eyurtsev	1 year ago
Shashank Deshpande	1db266b20d	Update link in apis.mdx (#6812 ) <!-- Thank you for contributing to LangChain! Replace this 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! 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Lance Martin	3f9900a864	Create MultiQueryRetriever (#6833 ) Distance-based vector database retrieval embeds (represents) queries in high-dimensional space and finds similar embedded documents based on "distance". But, retrieval may produce difference results with subtle changes in query wording or if the embeddings do not capture the semantics of the data well. Prompt engineering / tuning is sometimes done to manually address these problems, but can be tedious. The `MultiQueryRetriever` automates the process of prompt tuning by using an LLM to generate multiple queries from different perspectives for a given user input query. For each query, it retrieves a set of relevant documents and takes the unique union across all queries to get a larger set of potentially relevant documents. By generating multiple perspectives on the same question, the `MultiQueryRetriever` might be able to overcome some of the limitations of the distance-based retrieval and get a richer set of results. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Tim Asp	3ca1a387c2	Web Loader: Add proxy support (#6792 ) Proxies are helpful, especially when you start querying against more anti-bot websites. [Proxy services](https://developers.oxylabs.io/advanced-proxy-solutions/web-unblocker/making-requests) (of which there are many) and `requests` make it easy to rotate IPs to prevent banning by just passing along a simple dict to `requests`. CC @rlancemartin, @eyurtsev	1 year ago
Matt Robinson	dd2a151543	Docs/unstructured api key (#6781 ) ### Summary The Unstructured API will soon begin requiring API keys. This PR updates the Unstructured integrations docs with instructions on how to generate Unstructured API keys. ### Reviewers @rlancemartin @eyurtsev @hwchase17	1 year ago
Matt Robinson	b24472eae3	feat: Add `UnstructuredOrgModeLoader` (#6842 ) ### Summary Adds `UnstructuredOrgModeLoader` for processing [Org-mode](https://en.wikipedia.org/wiki/Org-mode) documents. ### Testing ```python from langchain.document_loaders import UnstructuredOrgModeLoader loader = UnstructuredOrgModeLoader( file_path="example_data/README.org", mode="elements" ) docs = loader.load() print(docs[0]) ``` ### Reviewers - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Cristóbal Carnero Liñán	e494b0a09f	feat (documents): add a source code loader based on AST manipulation (#6486 ) #### Summary A new approach to loading source code is implemented: Each top-level function and class in the code is loaded into separate documents. Then, an additional document is created with the top-level code, but without the already loaded functions and classes. This could improve the accuracy of QA chains over source code. For instance, having this script: ``` class MyClass: def __init__(self, name): self.name = name def greet(self): print(f"Hello, {self.name}!") def main(): name = input("Enter your name: ") obj = MyClass(name) obj.greet() if __name__ == '__main__': main() ``` The loader will create three documents with this content: First document: ``` class MyClass: def __init__(self, name): self.name = name def greet(self): print(f"Hello, {self.name}!") ``` Second document: ``` def main(): name = input("Enter your name: ") obj = MyClass(name) obj.greet() ``` Third document: ``` # Code for: class MyClass: # Code for: def main(): if __name__ == '__main__': main() ``` A threshold parameter is added to control whether small scripts are split in this way or not. At this moment, only Python and JavaScript are supported. The appropriate parser is determined by examining the file extension. #### Tests This PR adds: - Unit tests - Integration tests #### Dependencies Only one dependency was added as optional (needed for the JavaScript parser). #### Documentation A notebook is added showing how the loader can be used. #### Who can review? @eyurtsev @hwchase17 --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Robert Lewis	da462d9dd4	Zapier update oauth support (#6780 ) Description: Update documentation to 1) point to updated documentation links at Zapier.com (we've revamped our help docs and paths), and 2) To provide clarity how to use the wrapper with an access token for OAuth support Demo: Initializing the Zapier Wrapper with an OAuth Access Token `ZapierNLAWrapper(zapier_nla_oauth_access_token="<redacted>")` Using LangChain to resolve the current weather in Vancouver BC leveraging Zapier NLA to lookup weather by coords. ``` > Entering new chain... I need to use a tool to get the current weather. Action: The Weather: Get Current Weather Action Input: Get the current weather for Vancouver BC Observation: {"coord__lon": -123.1207, "coord__lat": 49.2827, "weather": [{"id": 802, "main": "Clouds", "description": "scattered clouds", "icon": "03d", "icon_url": "http://openweathermap.org/img/wn/03d@2x.png"}], "weather[]icon_url": ["http://openweathermap.org/img/wn/03d@2x.png"], "weather[]icon": ["03d"], "weather[]id": [802], "weather[]description": ["scattered clouds"], "weather[]main": ["Clouds"], "base": "stations", "main__temp": 71.69, "main__feels_like": 71.56, "main__temp_min": 67.64, "main__temp_max": 76.39, "main__pressure": 1015, "main__humidity": 64, "visibility": 10000, "wind__speed": 3, "wind__deg": 155, "wind__gust": 11.01, "clouds__all": 41, "dt": 1687806607, "sys__type": 2, "sys__id": 2011597, "sys__country": "CA", "sys__sunrise": 1687781297, "sys__sunset": 1687839730, "timezone": -25200, "id": 6173331, "name": "Vancouver", "cod": 200, "summary": "scattered clouds", "_zap_search_was_found_status": true} Thought: I now know the current weather in Vancouver BC. Final Answer: The current weather in Vancouver BC is scattered clouds with a temperature of 71.69 and wind speed of 3 ```	1 year ago
Joshua Carroll	24e4ae95ba	Initial Streamlit callback integration doc (md) (#6788 ) Description: Add a documentation page for the Streamlit Callback Handler integration (#6315) Notes: - Implemented as a markdown file instead of a notebook since example code runs in a Streamlit app (happy to discuss / consider alternatives now or later) - Contains an embedded Streamlit app -> https://mrkl-minimal.streamlit.app/ Currently this app is hosted out of a Streamlit repo but we're working to migrate the code to a LangChain owned repo ![streamlit_docs](https://github.com/hwchase17/langchain/assets/116604821/0b7a6239-361f-470c-8539-f22c40098d1a) cc @dev2049 @tconkling	1 year ago
Zander Chase	e1fdb67440	Update description in Evals notebook (#6808 )	1 year ago
Zander Chase	ad028bbb80	Permit Constitutional Principles (#6807 ) In the criteria evaluator.	1 year ago
WaseemH	7ac9b22886	`RecusiveUrlLoader` to `RecursiveUrlLoader` (#6787 )	1 year ago
Leonid Ganeline	49c864fa18	docs: vectorstore upgrades 2 (#6796 ) updated vectorstores/ notebooks; added new integrations into ecosystem/integrations/ @dev2049 @rlancemartin, @eyurtsev	1 year ago
Zander Chase	d7dbf4aefe	Clean up agent trajectory interface (#6799 ) - Enable reference - Enable not specifying tools at the start - Add methods with keywords	1 year ago
Zander Chase	cc60fed3be	Add a Pairwise Comparison Chain (#6703 ) Notebook shows preference scoring between two chains and reports wilson score interval + p value I think I'll add the option to insert ground truth labels but doesn't have to be in this PR	1 year ago
Zander Chase	c460b04c64	Update String Evaluator (#6615 ) - Add protocol for `evaluate_strings` - Move the criteria evaluator out so it's not restricted to being applied on traced runs	1 year ago
Chris Pappalardo	70f7c2bb2e	align chroma vectorstore get with chromadb to enable where filtering (#6686 ) allows for where filtering on collection via get - Description: aligns langchain chroma vectorstore get with underlying [chromadb collection get](https://github.com/chroma-core/chroma/blob/main/chromadb/api/models/Collection.py#L103) allowing for where filtering, etc. - Issue: NA - Dependencies: none - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @pappanaka	1 year ago
Santiago Delgado	d84a3bcf7a	Office365 Tool (#6306 ) #### Background With the development of [structured tools](https://blog.langchain.dev/structured-tools/), the LangChain team expanded the platform's functionality to meet the needs of new applications. The GMail tool, empowered by structured tools, now supports multiple arguments and powerful search capabilities, demonstrating LangChain's ability to interact with dynamic data sources like email servers. #### Challenge The current GMail tool only supports GMail, while users often utilize other email services like Outlook in Office365. Additionally, the proposed calendar tool in PR https://github.com/hwchase17/langchain/pull/652 only works with Google Calendar, not Outlook. #### Changes This PR implements an Office365 integration for LangChain, enabling seamless email and calendar functionality with a single authentication process. #### Future Work With the core Office365 integration complete, future work could include integrating other Office365 tools such as Tasks and Address Book. #### Who can review? @hwchase17 or @vowelparrot can review this PR #### Appendix @janscas, I utilized your [O365](https://github.com/O365/python-o365) library extensively. Given the rising popularity of LangChain and similar AI frameworks, the convergence of libraries like O365 and tools like this one is likely. So, I wanted to keep you updated on our progress. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Pau Ramon Revilla	87802c86d9	Added a MHTML document loader (#6311 ) MHTML is a very interesting format since it's used both for emails but also for archived webpages. Some scraping projects want to store pages in disk to process them later, mhtml is perfect for that use case. This is heavily inspired from the beautifulsoup html loader, but extracting the html part from the mhtml file. --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Matt Robinson	be68f6f8ce	feat: Add `UnstructuredRSTLoader` (#6594 ) ### Summary Adds an `UnstructuredRSTLoader` for loading [reStructuredText](https://en.wikipedia.org/wiki/ReStructuredText) file. ### Testing ```python from langchain.document_loaders import UnstructuredRSTLoader loader = UnstructuredRSTLoader( file_path="example_data/README.rst", mode="elements" ) docs = loader.load() print(docs[0]) ``` ### Reviewers - @hwchase17 - @rlancemartin - @eyurtsev	1 year ago
刘方瑞	9d1b3bab76	Fix Typo in LangChain MyScale Integration Doc (#6705 ) <!-- Thank you for contributing to LangChain! Replace this 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! 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> - Description: Fix Typo in LangChain MyScale Integration Doc @hwchase17	1 year ago
UmerHA	068142fce2	Add caching to BaseChatModel (issue #1644 ) (#5089 ) # Add caching to BaseChatModel Fixes #1644 (Sidenote: While testing, I noticed we have multiple implementations of Fake LLMs, used for testing. I consolidated them.) ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: Models - @hwchase17 - @agola11 Twitter: [@UmerHAdil](https://twitter.com/@UmerHAdil) \| Discord: RicChilligerDude#7589 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Baichuan Sun	9fbe346860	Amazon API Gateway hosted LLM (#6673 ) This PR adds a new LLM class for the Amazon API Gateway hosted LLM. The PR also includes example notebooks for using the LLM class in an Agent chain. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Akash	b7e1c54947	Just corrected a small inconsistency on a doc page (#6603 ) ### Just corrected a small inconsistency on a doc page (not exactly a typo, per se) - Description: There was inconsistency due to the use of single quotes at one place on the [Squential Chains](https://python.langchain.com/docs/modules/chains/foundational/sequential_chains) page of the docs, - Issue: NA, - Dependencies: NA, - Tag maintainer: @dev2049, - Twitter handle: kambleakash0	1 year ago
Davis Chase	f1e1ac2a01	chroma nb close img tag (#6669 )	1 year ago
Davis Chase	5e5b30b74f	openapi -> openai nit (#6667 )	1 year ago
Jeff Huber	2acf109c4b	update chroma notebook (#6664 ) @rlancemartin I updated the notebook for Chroma to hopefully be a lot easier for users.	1 year ago
Piyush Jain	b1de927f1b	Kendra retriever api (#6616 ) ## Description Replaces [Kendra Retriever](https://github.com/hwchase17/langchain/blob/master/langchain/retrievers/aws_kendra_index_retriever.py) with an updated version that uses the new [retriever API](https://docs.aws.amazon.com/kendra/latest/dg/searching-retrieve.html) which is better suited for retrieval augmented generation (RAG) systems. Note: This change requires the latest version (1.26.159) of boto3 to work. `pip install -U boto3` to upgrade the boto3 version. cc @hupe1980 cc @dev2049	1 year ago
ChrisLovejoy	4e5d78579b	fix minor typo in vector_db_qa.mdx (#6604 ) - Description: minor typo fixed - doesn't instead of does. No other changes.	1 year ago
Ikko Eltociear Ashimine	73da193a4b	Fix typo in myscale_self_query.ipynb (#6601 )	1 year ago
Aaron Pham	082976d8d0	fix(docs): broken link for OpenLLM (#6622 ) This link for the notebook of OpenLLM is not migrated to the new format Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> <!-- Thank you for contributing to LangChain! Replace this 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! 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>	1 year ago
Lance Martin	c2b25c17c5	Recursive URL loader (#6455 ) We may want to process load all URLs under a root directory. For example, let's look at the [LangChain JS documentation](https://js.langchain.com/docs/). This has many interesting child pages that we may want to read in bulk. Of course, the `WebBaseLoader` can load a list of pages. But, the challenge is traversing the tree of child pages and actually assembling that list! We do this using the `RecusiveUrlLoader`. This also gives us the flexibility to exclude some children (e.g., the `api` directory with > 800 child pages).	1 year ago
Lance Martin	393f469eb3	Create merge loader that combines documents from a set of loaders (#6659 ) Simple utility loader that combines documents from a set of specified loaders.	1 year ago
Davis Chase	6988039975	openapi_openai docstring (#6661 )	1 year ago
Davis Chase	e013459b18	Openapi to openai (#6658 )	1 year ago
Lance Martin	6e69bfbb28	Loader for OpenCityData and minor cleanups to Pandas, Airtable loaders (#6301 ) Many cities have open data portals for events like crime, traffic, etc. Socrata provides an API for many, including SF (e.g., see [here](https://dev.socrata.com/foundry/data.sfgov.org/tmnf-yvry)). This is a new data loader for city data that uses Socrata API.	1 year ago
Christoph Kahl	9d42621fa4	added redis method to delete entries by keys (#6222 ) In addition to my last pr (return keys of added entries), we also need a method to delete the entries by keys. @dev2049	1 year ago
Harrison Chase	a9108c1809	add mongo (HOLD) (#6437 ) do not merge in	1 year ago
Lance Martin	30f7288082	MD header text splitter returns Documents (#6571 ) Return `Documents` from MD header text splitter to simplify UX. Updates the test as well as example notebooks.	1 year ago
minhajul-clarifai	6e57306a13	Clarifai integration (#5954 ) # Changes This PR adds [Clarifai](https://www.clarifai.com/) integration to Langchain. Clarifai is an end-to-end AI Platform. Clarifai offers user the ability to use many types of LLM (OpenAI, cohere, ect and other open source models). As well, a clarifai app can be treated as a vector database to upload and retrieve data. The integrations includes: - Clarifai LLM integration: Clarifai supports many types of language model that users can utilize for their application - Clarifai VectorDB: A Clarifai application can hold data and embeddings. You can run semantic search with the embeddings #### Before submitting - [x] Added integration test for LLM - [x] Added integration test for VectorDB - [x] Added notebook for LLM - [x] Added notebook for VectorDB Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Jeroen Van Goey	7f6f5c2a6a	Add missing word in comment (#6587 ) Changed ``` # Do this so we can exactly what's going on under the hood ``` to ``` # Do this so we can see exactly what's going on under the hood ```	1 year ago
Davis Chase	d50de2728f	Add AzureML endpoint LLM wrapper (#6580 ) ### Description We have added a new LLM integration `azureml_endpoint` that allows users to leverage models from the AzureML platform. Microsoft recently announced the release of [Azure Foundation Models](https://learn.microsoft.com/en-us/azure/machine-learning/concept-foundation-models?view=azureml-api-2) which users can find in the AzureML Model Catalog. The Model Catalog contains a variety of open source and Hugging Face models that users can deploy on AzureML. The `azureml_endpoint` allows LangChain users to use the deployed Azure Foundation Models. ### Dependencies No added dependencies were required for the change. ### Tests Integration tests were added in `tests/integration_tests/llms/test_azureml_endpoint.py`. ### Notebook A Jupyter notebook demonstrating how to use `azureml_endpoint` was added to `docs/modules/llms/integrations/azureml_endpoint_example.ipynb`. ### Twitters [Prakhar Gupta](https://twitter.com/prakhar_in) [Matthew DeGuzman](https://twitter.com/matthew_d13) --------- Co-authored-by: Matthew DeGuzman <91019033+matthewdeguzman@users.noreply.github.com> Co-authored-by: prakharg-msft <75808410+prakharg-msft@users.noreply.github.com>	1 year ago
Davis Chase	4fabd02d25	Add OpenLLM wrapper(#6578 ) LLM wrapper for models served with OpenLLM --------- Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> Authored-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com> Co-authored-by: Chaoyu <paranoyang@gmail.com>	1 year ago
Harrison Chase	937a7e93f2	add motherduck docs (#6572 )	1 year ago
Muhammad Vaid	ae81b96b60	Detailed using the Twilio tool to send messages with 3rd party apps incl. WhatsApp (#6562 ) Everything needed to support sending messages over WhatsApp Business Platform (GA), Facebook Messenger (Public Beta) and Google Business Messages (Private Beta) was present. Just added some details on leveraging it.	1 year ago
Gengliang Wang	0673245d0c	Remove duplicate databricks entries in ecosystem integrations (#6569 ) Currently, there are two Databricks entries in https://python.langchain.com/docs/ecosystem/integrations/ <img width="277" alt="image" src="https://github.com/hwchase17/langchain/assets/1097932/86ab4ad2-6bce-4459-9d56-1ab2fbb69f6d"> The reason is that there are duplicated notebooks for Databricks integration: * https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks.ipynb * https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks/databricks.ipynb This PR is to remove the second one for simplicity.	1 year ago
Andrey E. Vedishchev	a2a0715bd4	Minor Grammar Fixes in Docs and Comments (#6536 ) Just some grammar fixes: I found "retriver" instead of "retriever" in several comments across the documentation and in the comments. I fixed it. Co-authored-by: andrey.vedishchev <andrey.vedishchev@rgigroup.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
dirtysalt	57cc3d1d3d	[Feature][VectorStore] Support StarRocks as vector db (#6119 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Here are some examples to use StarRocks as vectordb ``` from langchain.vectorstores import StarRocks from langchain.vectorstores.starrocks import StarRocksSettings embeddings = OpenAIEmbeddings() # conifgure starrocks settings settings = StarRocksSettings() settings.port = 41003 settings.host = '127.0.0.1' settings.username = 'root' settings.password = '' settings.database = 'zya' # to fill new embeddings docsearch = StarRocks.from_documents(split_docs, embeddings, config = settings) # or to use already-built embeddings in database. docsearch = StarRocks(embeddings, settings) ``` #### Who can review? Tag maintainers/contributors who might be interested: @dev2049 <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	ace442b992	bump to ver 208 (#6540 )	1 year ago
Harrison Chase	53c1f120a8	Harrison/multi tool (#6518 )	1 year ago
Naman Modi	37a89918e0	Infino integration for simplified logs, metrics & search across LLM data & token usage (#6218 ) ### Integration of Infino with LangChain for Enhanced Observability This PR aims to integrate [Infino](https://github.com/infinohq/infino), an open source observability platform written in rust for storing metrics and logs at scale, with LangChain, providing users with a streamlined and efficient method of tracking and recording LangChain experiments. By incorporating Infino into LangChain, users will be able to gain valuable insights and easily analyze the behavior of their language models. #### Please refer to the following files related to integration: - `InfinoCallbackHandler`: A [callback handler](https://github.com/naman-modi/langchain/blob/feature/infino-integration/langchain/callbacks/infino_callback.py) specifically designed for storing chain responses within Infino. - Example `infino.ipynb` file: A comprehensive notebook named [infino.ipynb](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/modules/callbacks/integrations/infino.ipynb) has been included to guide users on effectively leveraging Infino for tracking LangChain requests. - [Integration Doc](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/ecosystem/integrations/infino.mdx) for Infino integration. By integrating Infino, LangChain users will gain access to powerful visualization and debugging capabilities. Infino enables easy tracking of inputs, outputs, token usage, execution time of LLMs. This comprehensive observability ensures a deeper understanding of individual executions and facilitates effective debugging. Co-authors: @vinaykakade @savannahar68 --------- Co-authored-by: Vinay Kakade <vinaykakade@gmail.com>	1 year ago
Anubhav Bindlish	94c7899257	Integrate Rockset as Vectorstore (#6216 ) This PR adds Rockset as a vectorstore for langchain. [Rockset](https://rockset.com/blog/introducing-vector-search-on-rockset/) is a real time OLAP database which provides a fast and efficient vector search functionality. Further since it is entirely schemaless, it can store metadata in separate columns thereby allowing fast metadata filters during vector similarity search (as opposed to storing the entire metadata in a single JSON column). It currently supports three distance functions: `COSINE_SIMILARITY`, `EUCLIDEAN_DISTANCE`, and `DOT_PRODUCT`. This PR adds `rockset` client as an optional dependency. We would love a twitter shoutout, our handle is https://twitter.com/RocksetCloud --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
ElReyZero	ab7ecc9c30	Feat: Add a prompt template parameter to qa with structure chains (#6495 ) This pull request introduces a new feature to the LangChain QA Retrieval Chains with Structures. The change involves adding a prompt template as an optional parameter for the RetrievalQA chains that utilize the recently implemented OpenAI Functions. The main purpose of this enhancement is to provide users with the ability to input a more customizable prompt to the chain. By introducing a prompt template as an optional parameter, users can tailor the prompt to their specific needs and context, thereby improving the flexibility and effectiveness of the RetrievalQA chains. ## Changes Made - Created a new optional parameter, "prompt", for the RetrievalQA with structure chains. - Added an example to the RetrievalQA with sources notebook. My twitter handle is @El_Rey_Zero --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Hassan Ouda	456ca3d587	Be able to use Codey models on Vertex AI (#6354 ) Added the functionality to leverage 3 new Codey models from Vertex AI: - code-bison - Code generation using the existing LLM integration - code-gecko - Code completion using the existing LLM integration - codechat-bison - Code chat using the existing chat_model integration --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
囧囧	0fce8ef178	Add KuzuQAChain (#6454 ) This PR adds `KuzuGraph` and `KuzuQAChain` for interacting with [Kùzu database](https://github.com/kuzudb/kuzu). Kùzu is an in-process property graph database management system (GDBMS) built for query speed and scalability. The `KuzuGraph` and `KuzuQAChain` provide the same functionality as the existing integration with NebulaGraph and Neo4j and enables query generation and question answering over Kùzu database. A notebook example and a simple test case have also been added. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Chanin Nantasenamat	6e07283dd5	Update index.mdx (#6326 ) #### Fix Added the mention of "store" amongst the tasks that the data connection module can perform aside from the existing 3 (load, transform and query). Particularly, this implies the generation of embeddings vectors and the creation of vector stores.	1 year ago
TheOnlyWayUp	bb437646fc	typo(llamacpp.ipynb): 'condiser' -> 'consider' (#6474 )	1 year ago
hsparmar	834c3378af	Documentation Fix: Correct the example code output in the prompt templates doc (#6496 ) Documentation is showing the wrong example output for the prompt templates code snippet. This PR fixes that issue.	1 year ago
Davis Chase	c91cf68754	Fix link (#6501 )	1 year ago
Davis Chase	3298bf4f00	docs/fix links (#6498 )	1 year ago
Lance Martin	ae6196507d	Update notebook for MD header splitter and create new cookbook (#6399 ) Move MD header text splitter example to its own cookbook.	1 year ago
Stefano Lottini	22af93d851	Vector store support for Cassandra (#6426 ) This addresses #6291 adding support for using Cassandra (and compatible databases, such as DataStax Astra DB) as a [Vector Store](https://cwiki.apache.org/confluence/display/CASSANDRA/CEP-30%3A+Approximate+Nearest+Neighbor(ANN)+Vector+Search+via+Storage-Attached+Indexes). A new class `Cassandra` is introduced, which complies with the contract and interface for a vector store, along with the corresponding integration test, a sample notebook and modified dependency toml. Dependencies: the implementation relies on the library `cassio`, which simplifies interacting with Cassandra for ML- and LLM-oriented workloads. CassIO, in turn, uses the `cassandra-driver` low-lever drivers to communicate with the database. The former is added as optional dependency (+ in `extended_testing`), the latter was already in the project. Integration testing relies on a locally-running instance of Cassandra. [Here](https://cassio.org/more_info/#use-a-local-vector-capable-cassandra) a detailed description can be found on how to compile and run it (at the time of writing the feature has not made it yet to a release). During development of the integration tests, I added a new "fake embedding" class for what I consider a more controlled way of testing the MMR search method. Likewise, I had to amend what looked like a glitch in the behaviour of `ConsistentFakeEmbeddings` whereby an `embed_query` call would have bypassed storage of the requested text in the class cache for use in later repeated invocations. @dev2049 might be the right person to tag here for a review. Thank you! --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
zhaoshengbo	ab44c24333	Add Alibaba Cloud OpenSearch as a new vector store (#6154 ) Hello Folks, Thanks for creating and maintaining this great project. I'm excited to submit this PR to add Alibaba Cloud OpenSearch as a new vector store. OpenSearch is a one-stop platform to develop intelligent search services. OpenSearch was built based on the large-scale distributed search engine developed by Alibaba. OpenSearch serves more than 500 business cases in Alibaba Group and thousands of Alibaba Cloud customers. OpenSearch helps develop search services in different search scenarios, including e-commerce, O2O, multimedia, the content industry, communities and forums, and big data query in enterprises. OpenSearch provides the vector search feature. In specific scenarios, especially test question search and image search scenarios, you can use the vector search feature together with the multimodal search feature to improve the accuracy of search results. This PR includes: A AlibabaCloudOpenSearch class that can connect to the Alibaba Cloud OpenSearch instance. add embedings and metadata into a opensearch datasource. querying by squared euclidean and metadata. integration tests. ipython notebook and docs. I have read your contributing guidelines. And I have passed the tests below - [x] make format - [x] make lint - [x] make coverage - [x] make test --------- Co-authored-by: zhaoshengbo <shengbo.zsb@alibaba-inc.com>	1 year ago
Davis Chase	b7ad4c4c30	fix openai qa chain (#6487 )	1 year ago
Harrison Chase	9eec7c3206	Harrison/unstructured page number (#6464 ) Co-authored-by: Reza Sanaie <reza@sanaie.ca>	1 year ago
Grayson Adkins	9f5f747dc3	Fix broken links in autonomous agents docs (#6398 ) Fixes broken links here: https://python.langchain.com/docs/use_cases/autonomous_agents.html #### Who can review? Tag maintainers/contributors who might be interested: Agents / Tools / Toolkits - @hwchase17	1 year ago
volodymyr-memsql	d2e9b621ab	Update SinglStoreDB vectorstore (#6423 ) 1. Introduced new distance strategies support: DOT_PRODUCT and EUCLIDEAN_DISTANCE for enhanced flexibility. 2. Implemented a feature to filter results based on metadata fields. 3. Incorporated connection attributes specifying "langchain python sdk" usage for enhanced traceability and debugging. 4. Expanded the suite of integration tests for improved code reliability. 5. Updated the existing notebook with the usage example @dev2049 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	02c0a1e77e	Harrison/functions in retrieval (#6463 )	1 year ago
kYLe	3a58c4c3a0	Fixed a link typo /-/route -> /-/routes. and change endpoint format (#6186 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes a link typo from `/-/route` to `/-/routes`. and change endpoint format from `f"{self.anyscale_service_url}/{self.anyscale_service_route}"` to `f"{self.anyscale_service_url}{self.anyscale_service_route}"` Also adding documentation about the format of the endpoint #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Leonid Ganeline	03b16ed2b1	docs `retrievers` fixes (#6299 ) Fixed several inconsistencies: - file names and notebook titles should be similar otherwise ToC on the [retrievers page](https://python.langchain.com/en/latest/modules/indexes/retrievers.html) and on the left ToC tab are different. For example, now, `Self-querying with Chroma` is not correctly alphabetically sorted because its file named `chroma_self_query.ipynb` - `Stringing compressors and document transformers...` demoted from `#` to `##`. Otherwise, it appears in Toc. - several formatting problems #### Who can review? @hwchase17 @dev2049 Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
M. Tolga Cangöz	bccee85c8f	Update introduction.mdx (#6425 ) Fix typo	1 year ago

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