langchain

Commit Graph

Author	SHA1	Message	Date
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
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
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	13c62cf6b1	Arthur Callback (#6972 ) Co-authored-by: Max Cembalest <115359769+arthuractivemodeling@users.noreply.github.com>	1 year ago
Bagatur	60b0d6ea35	Bagatur/openllm ensure available (#6960 ) Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> Co-authored-by: Aaron <29749331+aarnphm@users.noreply.github.com>	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
Ayan Bandyopadhyay	f92ccf70fd	Update to the latest Psychic python library version (#6804 ) Update the Psychic document loader to use the latest `psychicapi` python library version: `0.8.0`	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
Zander Chase	b4fe7f3a09	Session to project (#6249 ) Sessions are being renamed to projects in the tracer	1 year ago
Tim Conkling	c28990d871	StreamlitCallbackHandler (#6315 ) A new implementation of `StreamlitCallbackHandler`. It formats Agent thoughts into Streamlit expanders. You can see the handler in action here: https://langchain-mrkl.streamlit.app/ Per a discussion with Harrison, we'll be adding a `StreamlitCallbackHandler` implementation to an upcoming [Streamlit](https://github.com/streamlit/streamlit) release as well, and will be updating it as we add new LLM- and LangChain-specific features to Streamlit. The idea with this PR is that the LangChain `StreamlitCallbackHandler` will "auto-update" in a way that keeps it forward- (and backward-) compatible with Streamlit. If the user has an older Streamlit version installed, the LangChain `StreamlitCallbackHandler` will be used; if they have a newer Streamlit version that has an updated `StreamlitCallbackHandler`, that implementation will be used instead. (I'm opening this as a draft to get the conversation going and make sure we're on the same page. We're really excited to land this into LangChain!) #### Who can review? @agola11, @hwchase17	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
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
ljeagle	ca24dc2d5f	Upgrade the version of AwaDB and add some new interfaces (#6565 ) 1. upgrade the version of AwaDB 2. add some new interfaces 3. fix bug of packing page content error @dev2049 please review, thanks! --------- Co-authored-by: vincent <awadb.vincent@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
Zeeland	8a604b93ab	feat: use latest duckduckgo_search API to call (#6409 ) # Provider the latest duckduckgo_search API The Git commit contents involve two files related to some DuckDuckGo query operations, and an upgrade of the DuckDuckGo module to version 3.8.3. A suitable commit message could be "Upgrade DuckDuckGo module to version 3.8.3, including query operations". Specifically, in the duckduckgo_search.py file, a DDGS() class instance is newly added to replace the previous ddg() function, and the time parameter name in the get_snippets() and results() methods is changed from "time" to "timelimit" to accommodate recent changes. In the pyproject.toml file, the duckduckgo-search module is upgraded to version 3.8.3. [duckduckgo_search readme attention](https://github.com/deedy5/duckduckgo_search): Versions before v2.9.4 no longer work as of May 12, 2023 ## Who can review? @vowelparrot --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	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
Zander Chase	00f276d23f	Run eval in eval mode (#6447 ) For the `run_on_dataset` sessions	1 year ago
Leonid Ganeline	c7ca350cd3	Fix class promotion (#6187 ) In LangChain, all module classes are enumerated in the `__init__.py` file of the correspondent module. But some classes were missed and were not included in the module `__init__.py` This PR: - added the missed classes to the module `__init__.py` files - `__init__.py:__all_` variable value (a list of the class names) was sorted - `langchain.tools.sql_database.tool.QueryCheckerTool` was renamed into the `QuerySQLCheckerTool` because it conflicted with `langchain.tools.spark_sql.tool.QueryCheckerTool` - changes to `pyproject.toml`: - added `pgvector` to `pyproject.toml:extended_testing` - added `pandas` to `pyproject.toml:[tool.poetry.group.test.dependencies]` - commented out the `streamlit` from `collbacks/__init__.py`, It is because now the `streamlit` requires Python >=3.7, !=3.9.7 - fixed duplicate names in `tools` - fixed correspondent ut-s #### Who can review? @hwchase17 @dev2049	1 year ago
Harrison Chase	af18413d97	Harrison/deeplake new features (#6263 ) Co-authored-by: adilkhan <adilkhan.sarsen@nu.edu.kz> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
ljeagle	ad324a39ae	Improve the performance of add_texts interface and upgrade the AwaDB from 0.3.2 to 0.3.3 (#6316 ) 1. Changed the implementation of add_texts interface for the AwaDB vector store in order to improve the performance 2. Upgrade the AwaDB from 0.3.2 to 0.3.3 --------- Co-authored-by: vincent <awadb.vincent@gmail.com>	1 year ago
Zander Chase	0c52275bdb	Use Run object from SDK (#6067 ) Update the Run object in the tracer to extend that in the SDK to include the parameters necessary for tracking/tracing	1 year ago
Harrison Chase	d1561b74eb	Harrison/cognitive search (#6011 ) Co-authored-by: Fabrizio Ruocco <ruoccofabrizio@gmail.com>	1 year ago
Nuno Campos	18af149e91	nc/load (#5733 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	9218684759	Add a new vector store - AwaDB (#5971 ) (#5992 ) Added AwaDB vector store, which is a wrapper over the AwaDB, that can be used as a vector storage and has an efficient similarity search. Added integration tests for the vector store Added jupyter notebook with the example Delete a unneeded empty file and resolve the conflict(https://github.com/hwchase17/langchain/pull/5886) Please check, Thanks! @dev2049 @hwchase17 --------- <!-- 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 --> #### 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 - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: ljeagle <vincent_jieli@yeah.net> Co-authored-by: vincent <awadb.vincent@gmail.com>	1 year ago
Kacper Łukawski	7cc200766e	Expose full params in Qdrant (#5947 ) # Expose full params in Qdrant There were many questions regarding supporting some additional parameters in Qdrant integration. Qdrant supports many vector search optimizations that were impossible to use directly in Qdrant before. That includes: 1. Possibility to manipulate collection params while using `Qdrant.from_texts`. The PR allows setting things such as quantization, HNWS config, optimizers config, etc. That makes it consistent with raw `QdrantClient`. 2. Extended options while searching. It includes HNSW options, exact search, score threshold filtering, and read consistency in distributed mode. After merging that PR, #4858 might also be closed. ## Who can review? VectorStores / Retrievers / Memory @dev2049 @hwchase17	1 year ago
Zander Chase	77c286cf02	Use LCP Client in Tracer (#5908 ) Move the LCP calls to the client.	1 year ago
Harrison Chase	893d20f735	bump version to 194 (#5866 )	1 year ago
Harrison Chase	35cfd25db3	Harrison/nebula graph (#5865 ) Co-authored-by: Wey Gu <weyl.gu@gmail.com> Co-authored-by: chenweisomebody <chenweisomebody@gmail.com>	1 year ago
volodymyr-memsql	a1549901ce	Added SingleStoreDB Vector Store (#5619 ) - Added `SingleStoreDB` vector store, which is a wrapper over the SingleStore DB database, that can be used as a vector storage and has an efficient similarity search. - Added integration tests for the vector store - Added jupyter notebook with the example @dev2049 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Zander Chase	d9fcc45d05	Add in the async methods and link the run id (#5810 )	1 year ago
Zander Chase	217b5cc72d	Base RunEvaluator Chain (#5750 ) Clean up a bit and only implement the QA and reference free implementations from https://github.com/hwchase17/langchain/pull/5618	1 year ago
Zander Chase	204a73c1d9	Use client from LCP-SDK (#5695 ) - Remove the client implementation (this breaks backwards compatibility for existing testers. I could keep the stub in that file if we want, but not many people are using it yet - Add SDK as dependency - Update the 'run_on_dataset' method to be a function that optionally accepts a client as an argument - Remove the langchain plus server implementation (you get it for free with the SDK now) We could make the SDK optional for now, but the plan is to use w/in the tracer so it would likely become a hard dependency at some point.	1 year ago
Adil Ansari	233b52735e	feat: Support for `Tigris` Vector Database for vector search (#5703 ) ### Changes - New vector store integration - [Tigris](https://tigrisdata.com) - Adds [tigrisdb](https://pypi.org/project/tigrisdb/) optional dependency - Example notebook demonstrating usage Fixes #5535 Closes tigrisdata/tigris-client-python#40 #### Twitter handles We'd love a shoutout on our [@TigrisData](https://twitter.com/TigrisData) and [@adilansari](https://twitter.com/adilansari) twitter handles #### Who can review? @dev2049 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Daniel Chalef	0551bc90a5	Zep Hybrid Search (#5742 ) Zep now supports persisting custom metadata with messages and hybrid search across both message embeddings and structured metadata. This PR implements custom metadata and enhancements to the `ZepChatMessageHistory` and `ZepRetriever` classes to implement this support. Tag maintainers/contributors who might be interested: VectorStores / Retrievers / Memory - @dev2049 --------- Co-authored-by: Daniel Chalef <daniel.chalef@private.org>	1 year ago
Natalie	199cc700a3	Ability to specify credentials wihen using Google BigQuery as a data loader (#5466 ) # Adds ability to specify credentials when using Google BigQuery as a data loader Fixes #5465 . Adds ability to set credentials which must be of the `google.auth.credentials.Credentials` type. This argument is optional and will default to `None. Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Ayan Bandyopadhyay	8181f9e362	Update psychicapi version (#5471 ) Update [psychicapi](https://pypi.org/project/psychicapi/) python package dependency to the latest version 0.5. The newest python package version addresses breaking changes in the Psychic http api.	1 year ago
Paul-Emile Brotons	a61b7f7e7c	adding MongoDBAtlasVectorSearch (#5338 ) # Add MongoDBAtlasVectorSearch for the python library Fixes #5337 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	760632b292	Harrison/spark reader (#5405 ) Co-authored-by: Rithwik Ediga Lakhamsani <rithwik.ediga@databricks.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
German Martin	0b3e0dd1d2	New Trello document loader (#4767 ) # Added New Trello loader class and documentation Simple Loader on top of py-trello wrapper. With a board name you can pull cards and to do some field parameter tweaks on load operation. I included documentation and examples. Included unit test cases using patch and a fixture for py-trello client class. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Michael Landis	7047a2c1af	feat: add Momento as a standard cache and chat message history provider (#5221 ) # Add Momento as a standard cache and chat message history provider This PR adds Momento as a standard caching provider. Implements the interface, adds integration tests, and documentation. We also add Momento as a chat history message provider along with integration tests, and documentation. [Momento](https://www.gomomento.com/) is a fully serverless cache. Similar to S3 or DynamoDB, it requires zero configuration, infrastructure management, and is instantly available. Users sign up for free and get 50GB of data in/out for free every month. ## Before submitting ✅ We have added documentation, notebooks, and integration tests demonstrating usage. Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	ca88b25da6	Zep sdk version (#5267 ) zep-python's sync methods no longer need an asyncio wrapper. This was causing issues with FastAPI deployment. Zep also now supports putting and getting of arbitrary message metadata. Bump zep-python version to v0.30 Remove nest-asyncio from Zep example notebooks. Modify tests to include metadata. --------- Co-authored-by: Daniel Chalef <daniel.chalef@private.org> Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>	1 year ago
Eugene Yurtsev	5cfa72a130	Bibtex integration for document loader and retriever (#5137 ) # Bibtex integration Wrap bibtexparser to retrieve a list of docs from a bibtex file. * Get the metadata from the bibtex entries * `page_content` get from the local pdf referenced in the `file` field of the bibtex entry using `pymupdf` * If no valid pdf file, `page_content` set to the `abstract` field of the bibtex entry * Support Zotero flavour using regex to get the file path * Added usage example in `docs/modules/indexes/document_loaders/examples/bibtex.ipynb` --------- Co-authored-by: Sébastien M. Popoff <sebastien.popoff@espci.fr> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	2b2176a3c1	tfidf retriever (#5114 ) Co-authored-by: vempaliakhil96 <vempaliakhil96@gmail.com>	1 year ago
Tian Wei	d7f807b71f	Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API (#5012 ) # Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API: achieve some multimodal capabilities This PR adds a toolkit named AzureCognitiveServicesToolkit which bundles the following tools: - AzureCogsImageAnalysisTool: calls Azure Cognitive Services image analysis API to extract caption, objects, tags, and text from images. - AzureCogsFormRecognizerTool: calls Azure Cognitive Services form recognizer API to extract text, tables, and key-value pairs from documents. - AzureCogsSpeech2TextTool: calls Azure Cognitive Services speech to text API to transcribe speech to text. - AzureCogsText2SpeechTool: calls Azure Cognitive Services text to speech API to synthesize text to speech. This toolkit can be used to process image, document, and audio inputs. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Jamie Broomall	d4fd589638	WhyLabs callback (#4906 ) # Add a WhyLabs callback handler * Adds a simple WhyLabsCallbackHandler * Add required dependencies as optional * protect against missing modules with imports * Add docs/ecosystem basic example based on initial prototype from @andrewelizondo > this integration gathers privacy preserving telemetry on text with whylogs and sends stastical profiles to WhyLabs platform to monitoring these metrics over time. For more information on what WhyLabs is see: https://whylabs.ai After you run the notebook (if you have env variables set for the API Keys, org_id and dataset_id) you get something like this in WhyLabs: ![Screenshot (443)](https://github.com/hwchase17/langchain/assets/88007022/6bdb3e1c-4243-4ae8-b974-23a8bb12edac) Co-authored-by: Andre Elizondo <andre@whylabs.ai> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Matt Rickard	de6a401a22	Add OpenLM LLM multi-provider (#4993 ) OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added code. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Gergely Imreh	69de33e024	Add Mastodon toots loader (#5036 ) # Add Mastodon toots loader. Loader works either with public toots, or Mastodon app credentials. Toot text and user info is loaded. I've also added integration test for this new loader as it works with public data, and a notebook with example output run now. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Michael Landis	6eacd88ae7	fix: revert docarray explicit transitive dependencies and use extras instead (#5015 ) tldr: The docarray [integration PR](https://github.com/hwchase17/langchain/pull/4483) introduced a pinned dependency to protobuf. This is a docarray dependency, not a langchain dependency. Since this is handled by the docarray dependencies, it is unnecessary here. Further, as a pinned dependency, this quickly leads to incompatibilities with application code that consumes the library. Much less with a heavily used library like protobuf. Detail: as we see in the [docarray integration](https://github.com/hwchase17/langchain/pull/4483/files#diff-50c86b7ed8ac2cf95bd48334961bf0530cdc77b5a56f852c5c61b89d735fd711R81-R83), the transitive dependencies of docarray were also listed as langchain dependencies. This is unnecessary as the docarray project has an appropriate [extras](`a01a05542d/pyproject.toml (L70)`). The docarray project also does not require this _pinned_ version of protobuf, rather [a minimum version](`a01a05542d/pyproject.toml (L41)`). So this pinned version was likely in error. To fix this, this PR reverts the explicit hnswlib and protobuf dependencies and adds the hnswlib extras install for docarray (which installs hnswlib and protobuf, as originally intended). Because version `0.32.0` of the docarray hnswlib extras added protobuf, we bump the docarray dependency from `^0.31.0` to `^0.32.0`. # revert docarray explicit transitive dependencies and use extras instead ## Who can review? @dev2049 -- reviewed the original PR @eyurtsev -- bumped the pinned protobuf dependency a few days ago --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	10ba201d05	Harrison/neo4j (#5078 ) Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago

1 2 3

145 Commits (8d2281a8cab2c92c4ff84d287d9c16e65773e96f)