langchain

Commit Graph

Author	SHA1	Message	Date
Eddie Cohen	656d2303f7	add in, nin for pinecone (#10303 ) Description: Adds the in and nin comparators for pinecone seen [here](https://docs.pinecone.io/docs/metadata-filtering#metadata-query-language) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
CG80499	943e4f30d8	Add scoring chain (#11123 ) <!-- 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/hwchase17/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
Stanko Kuveljic	4765c09703	Pinecone upsert parallelization (#9859 ) Issue: closes #9855 * consolidates `from_texts` and `add_texts` functions for pinecone upsert * adds two types of batching (one for embeddings and one for index upsert) * adds thread pool size when instantiating pinecone index	11 months ago
karynzv	5508baf1eb	Add CrateDB prompt (#9657 ) Adds a prompt template for the CrateDB SQL dialect.	11 months ago
Ben Auffarth	6b007e2829	update repo username to langchain-ai (#8747 ) Time for this minor update? @hwchase17	12 months ago
Jiayi Ni	1efb9bae5f	FEAT: Integrate Xinference LLMs and Embeddings (#8171 ) - [Xorbits Inference(Xinference)](https://github.com/xorbitsai/inference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. Xinference supports a variety of GGML-compatible models including chatglm, whisper, and vicuna, and utilizes heterogeneous hardware and a distributed architecture for seamless cross-device and cross-server model deployment. - This PR integrates Xinference models and Xinference embeddings into LangChain. - Dependencies: To install the depenedencies for this integration, run `pip install "xinference[all]"` - Example Usage: To start a local instance of Xinference, run `xinference`. To deploy Xinference in a distributed cluster, first start an Xinference supervisor using `xinference-supervisor`: `xinference-supervisor -H "${supervisor_host}"` Then, start the Xinference workers using `xinference-worker` on each server you want to run them on. `xinference-worker -e "http://${supervisor_host}:9997"` To use Xinference with LangChain, you also need to launch a model. You can use command line interface (CLI) to do so. Fo example: `xinference launch -n vicuna-v1.3 -f ggmlv3 -q q4_0`. This launches a model named vicuna-v1.3 with `model_format="ggmlv3"` and `quantization="q4_0"`. A model UID is returned for you to use. Now you can use Xinference with LangChain: ```python from langchain.llms import Xinference llm = Xinference( server_url="http://0.0.0.0:9997", # suppose the supervisor_host is "0.0.0.0" model_uid = {model_uid} # model UID returned from launching a model ) llm( prompt="Q: where can we visit in the capital of France? A:", generate_config={"max_tokens": 1024}, ) ``` You can also use RESTful client to launch a model: ```python from xinference.client import RESTfulClient client = RESTfulClient("http://0.0.0.0:9997") model_uid = client.launch_model(model_name="vicuna-v1.3", model_size_in_billions=7, quantization="q4_0") ``` The following code block demonstrates how to use Xinference embeddings with LangChain: ```python from langchain.embeddings import XinferenceEmbeddings xinference = XinferenceEmbeddings( server_url="http://0.0.0.0:9997", model_uid = model_uid ) ``` ```python query_result = xinference.embed_query("This is a test query") ``` ```python doc_result = xinference.embed_documents(["text A", "text B"]) ``` Xinference is still under rapid development. Feel free to [join our Slack community](https://xorbitsio.slack.com/join/shared_invite/zt-1z3zsm9ep-87yI9YZ_B79HLB2ccTq4WA) to get the latest updates! - Request for review: @hwchase17, @baskaryan - Twitter handle: https://twitter.com/Xorbitsio --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
Bagatur	08c658d3f8	fix api ref (#8083 )	1 year ago
Harrison Chase	f35db9f43e	(WIP) set up experimental (#7959 )	1 year ago
Bagatur	95e369b38d	bump 239 (#8077 )	1 year ago
Bagatur	ec4f93b629	bump 238 (#8012 )	1 year ago
Santiago Delgado	c416dbe8e0	Amadeus Flight and Travel Search Tool (#7890 ) ## Background With the addition on email and calendar tools, LangChain is continuing to complete its functionality to automate business processes. ## Challenge One of the pieces of business functionality that LangChain currently doesn't have is the ability to search for flights and travel in order to book business travel. ## Changes This PR implements an integration with the [Amadeus](https://developers.amadeus.com/) travel search API for LangChain, enabling seamless search for flights with a single authentication process. ## Who can review? @hinthornw ## Appendix @tsolakoua and @minjikarin, I utilized your [amadeus-python](https://github.com/amadeus4dev/amadeus-python) library extensively. Given the rising popularity of LangChain and similar AI frameworks, the convergence of libraries like amadeus-python and tools like this one is likely. So, I wanted to keep you updated on our progress. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
William FH	a4c5914c9a	Bump LS Version (#7970 )	1 year ago
Bagatur	854a2be0ca	Add debugging guide (#7956 )	1 year ago
Brendan Collins	9aef79c2e3	Add Geopandas.GeoDataFrame Document Loader (#3817 ) Work in Progress. WIP Not ready... Adds Document Loader support for [Geopandas.GeoDataFrames](https://geopandas.org/) Example: - [x] stub out `GeoDataFrameLoader` class - [x] stub out integration tests - [ ] Experiment with different geometry text representations - [ ] Verify CRS is successfully added in metadata - [ ] Test effectiveness of searches on geometries - [ ] Test with different geometry types (point, line, polygon with multi-variants). - [ ] Add documentation --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com>	1 year ago
Bagatur	d9b5bcd691	bump (#7948 )	1 year ago
Bagatur	4d8b48bdb3	bump 236 (#7938 )	1 year ago
Jeff Huber	2139d0197e	upgrade chroma to 0.4.0 (#7749 ) This should land Monday the 17th Chroma is upgrading from `0.3.29` to `0.4.0`. `0.4.0` is easier to build, more durable, faster, smaller, and more extensible. This comes with a few changes: 1. A simplified and improved client setup. Instead of having to remember weird settings, users can just do `EphemeralClient`, `PersistentClient` or `HttpClient` (the underlying direct `Client` implementation is also still accessible) 2. We migrated data stores away from `duckdb` and `clickhouse`. This changes the api for the `PersistentClient` that used to reference `chroma_db_impl="duckdb+parquet"`. Now we simply set `is_persistent=true`. `is_persistent` is set for you to `true` if you use `PersistentClient`. 3. Because we migrated away from `duckdb` and `clickhouse` - this also means that users need to migrate their data into the new layout and schema. Chroma is committed to providing extension notification and tooling around any schema and data migrations (for example - this PR!). After upgrading to `0.4.0` - if users try to access their data that was stored in the previous regime, the system will throw an `Exception` and instruct them how to use the migration assistant to migrate their data. The migration assitant is a pip installable CLI: `pip install chroma_migrate`. And is runnable by calling `chroma_migrate` -- TODO ADD here is a short video demonstrating how it works. Please reference the readme at [chroma-core/chroma-migrate](https://github.com/chroma-core/chroma-migrate) to see a full write-up of our philosophy on migrations as well as more details about this particular migration. Please direct any users facing issues upgrading to our Discord channel called [#get-help](https://discord.com/channels/1073293645303795742/1129200523111841883). We have also created a [email listserv](https://airtable.com/shrHaErIs1j9F97BE) to notify developers directly in the future about breaking changes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Hanit	0d23c0c82a	Allowing additional params for OpenAIEmbeddings. (#7752 ) (#7654) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
William FH	d87564951e	LS0010 (#7871 ) Bump langsmith version. Has some additional UX improvements	1 year ago
William FH	2aa3cf4e5f	update notebook (#7852 )	1 year ago
Bagatur	3f1302a4ab	bump 235 (#7836 )	1 year ago
Dayuan Jiang	ee40d37098	add bm25 module (#7779 ) - Description: Add a BM25 Retriever that do not need Elastic search - Dependencies: rank_bm25(if it is not installed it will be install by using pip, just like TFIDFRetriever do) - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: DayuanJian21687 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
William FH	4cb9f1eda8	Update langsmith version (#7759 )	1 year ago
Bagatur	c871c04270	bump 234 (#7754 )	1 year ago
Gordon Clark	96f3dff050	MediaWiki docloader improvements + unit tests (#5879 ) Starting over from #5654 because I utterly borked the poetry.lock file. Adds new paramerters for to the MWDumpLoader class: * skip_redirecst (bool) Tells the loader to skip articles that redirect to other articles. False by default. * stop_on_error (bool) Tells the parser to skip any page that causes a parse error. True by default. * namespaces (List[int]) Tells the parser which namespaces to parse. Contains namespaces from -2 to 15 by default. Default values are chosen to preserve backwards compatibility. Sample dump XML and full unit test coverage (with extended tests that pass!) also included! --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Kacper Łukawski	1ff5b67025	Implement async API for Qdrant vector store (#7704 ) Inspired by #5550, I implemented full async API support in Qdrant. The docs were extended to mention the existence of asynchronous operations in Langchain. I also used that chance to restructure the tests of Qdrant and provided a suite of tests for the async version. Async API requires the GRPC protocol to be enabled. Thus, it doesn't work on local mode yet, but we're considering including the support to be consistent.	1 year ago
Bagatur	ad7d97670b	bump 233 (#7707 )	1 year ago
Bagatur	3dd0704e38	bump 232 (#7659 )	1 year ago
William FH	a673a51efa	[Breaking] Update Evaluation Functionality (#7388 ) - Migrate from deprecated langchainplus_sdk to `langsmith` package - Update the `run_on_dataset()` API to use an eval config - Update a number of evaluators, as well as the loading logic - Update docstrings / reference docs - Update tracer to share single HTTP session	1 year ago
Jamie Broomall	0e1d7a27c6	WhyLabsCallbackHandler updates (#7621 ) Updates to the WhyLabsCallbackHandler and example notebook - Update dependency to langkit 0.0.6 which defines new helper methods for callback integrations - Update WhyLabsCallbackHandler to use the new `get_callback_instance` so that the callback is mostly defined in langkit - Remove much of the implementation of the WhyLabsCallbackHandler here in favor of the callback instance This does not change the behavior of the whylabs callback handler implementation but is a reorganization that moves some of the implementation externally to our optional dependency package, and should make future updates easier. @agola11	1 year ago
Yaroslav Halchenko	0d92a7f357	codespell: workflow, config + some (quite a few) typos fixed (#6785 ) Probably the most boring PR to review ;) Individual commits might be easier to digest --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Sam	931e68692e	Adds a chain around sympy for symbolic math (#6834 ) - Description: Adds a new chain that acts as a wrapper around Sympy to give LLMs the ability to do some symbolic math. - Dependencies: SymPy --------- Co-authored-by: sreiswig <sreiswig@github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	22525bad65	bump 231 (#7584 )	1 year ago
os1ma	2667ddc686	Fix `make docs_build` and related scripts (#7276 ) Description: a description of the change Fixed `make docs_build` and related scripts which caused errors. There are several changes. First, I made the build of the documentation and the API Reference into two separate commands. This is because it takes less time to build. The commands for documents are `make docs_build`, `make docs_clean`, and `make docs_linkcheck`. The commands for API Reference are `make api_docs_build`, `api_docs_clean`, and `api_docs_linkcheck`. It looked like `docs/.local_build.sh` could be used to build the documentation, so I used that. Since `.local_build.sh` was also building API Rerefence internally, I removed that process. `.local_build.sh` also added some Bash options to stop in error or so. Futher more added `cd "${SCRIPT_DIR}"` at the beginning so that the script will work no matter which directory it is executed in. `docs/api_reference/api_reference.rst` is removed, because which is generated by `docs/api_reference/create_api_rst.py`, and added it to .gitignore. Finally, the description of CONTRIBUTING.md was modified. Issue: the issue # it fixes (if applicable) https://github.com/hwchase17/langchain/issues/6413 Dependencies: any dependencies required for this change `nbdoc` was missing in group docs so it was added. I installed it with the `poetry add --group docs nbdoc` command. I am concerned if any modifications are needed to poetry.lock. I would greatly appreciate it if you could pay close attention to this file during the review. Tag maintainer - General / Misc / if you don't know who to tag: @baskaryan If this PR needs any additional changes, I'll be happy to make them! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	3c4338470e	bump 230 (#7544 )	1 year ago
Adilkhan Sarsen	5debd5043e	Added deeplake use case examples of the new features (#6528 ) <!-- 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 - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> 1. Added use cases of the new features 2. Done some code refactoring --------- Co-authored-by: Ivo Stranic <istranic@gmail.com>	1 year ago
Bagatur	9b615022e2	bump 229 (#7467 )	1 year ago
Yifei Song	7d29bb2c02	Add Xorbits Dataframe as a Document Loader (#7319 ) - [Xorbits](https://doc.xorbits.io/en/latest/) is an open-source computing framework that makes it easy to scale data science and machine learning workloads in parallel. Xorbits can leverage multi cores or GPUs to accelerate computation on a single machine, or scale out up to thousands of machines to support processing terabytes of data. - This PR added support for the Xorbits document loader, which allows langchain to leverage Xorbits to parallelize and distribute the loading of data. - Dependencies: This change requires the Xorbits library to be installed in order to be used. `pip install xorbits` - Request for review: @rlancemartin, @eyurtsev - Twitter handle: https://twitter.com/Xorbitsio Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	26c86a197c	bump 228 (#7393 )	1 year ago
William FH	4789c99bc2	Add String Distance and Embedding Evaluators (#7123 ) Add a string evaluator and pairwise string evaluator implementation for: - Embedding distance - String distance Update docs	1 year ago
Bagatur	cb4e88e4fb	bump 227 (#7354 )	1 year ago
Bagatur	0ed2da7020	bump 226 (#7335 )	1 year ago
OwenElliott	3074306ae1	Marqo Vector Store Examples & Type Hints (#7326 ) This PR improves the example notebook for the Marqo vectorstore implementation by adding a new RetrievalQAWithSourcesChain example. The `embedding` parameter in `from_documents` has its type updated to `Union[Embeddings, None]` and a default parameter of None because this is ignored in Marqo. This PR also upgrades the Marqo version to 0.11.0 to remove the device parameter after a breaking change to the API. Related to #7068 @tomhamer @hwchase17 --------- Co-authored-by: Tom Hamer <tom@marqo.ai>	1 year ago
Bagatur	a9c5b4bcea	Bagatur/clarifai update (#7324 ) This PR improves upon the Clarifai LangChain integration with improved docs, errors, args and the addition of embedding model support in LancChain for Clarifai's embedding models and an overview of the various ways you can integrate with Clarifai added to the docs. --------- Co-authored-by: Matthew Zeiler <zeiler@clarifai.com>	1 year ago
Harrison Chase	035ad33a5b	bump ver to 225 (#7244 )	1 year ago
Harrison Chase	52b016920c	Harrison/update anthropic (#7237 ) Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	1 year ago
Tom	e533da8bf2	Adding Marqo to vectorstore ecosystem (#7068 ) This PR brings in a vectorstore interface for [Marqo](https://www.marqo.ai/). The Marqo vectorstore exposes some of Marqo's functionality in addition the the VectorStore base class. The Marqo vectorstore also makes the embedding parameter optional because inference for embeddings is an inherent part of Marqo. Docs, notebook examples and integration tests included. Related PR: https://github.com/hwchase17/langchain/pull/2807 --------- Co-authored-by: Tom Hamer <tom@marqo.ai> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
felixocker	db98c44f8f	Support for SPARQL (#7165 ) # [SPARQL](https://www.w3.org/TR/rdf-sparql-query/) for [LangChain](https://github.com/hwchase17/langchain) ## Description LangChain support for knowledge graphs relying on W3C standards using RDFlib: SPARQL/ RDF(S)/ OWL with special focus on RDF \ * Works with local files, files from the web, and SPARQL endpoints * Supports both SELECT and UPDATE queries * Includes both a Jupyter notebook with an example and integration tests ## Contribution compared to related PRs and discussions * [Wikibase agent](https://github.com/hwchase17/langchain/pull/2690) - uses SPARQL, but specifically for wikibase querying * [Cypher qa](https://github.com/hwchase17/langchain/pull/5078) - graph DB question answering for Neo4J via Cypher * [PR 6050](https://github.com/hwchase17/langchain/pull/6050) - tries something similar, but does not cover UPDATE queries and supports only RDF * Discussions on [w3c mailing list](mailto:semantic-web@w3.org) related to the combination of LLMs (specifically ChatGPT) and knowledge graphs ## Dependencies * [RDFlib](https://github.com/RDFLib/rdflib) ## Tag maintainer Graph database related to memory -> @hwchase17	1 year ago
Harrison Chase	79fb90aafd	bump version to 224 (#7203 )	1 year ago
Bagatur	898087d02c	bump 223 (#7155 )	1 year ago

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