langchain

Commit Graph

Author	SHA1	Message	Date
sergerdn	6dc86ad48f	feat: add pytest-vcr for recording HTTP interactions in integration tests (#2445 ) Using `pytest-vcr` in integration tests has several benefits. Firstly, it removes the need to mock external services, as VCR records and replays HTTP interactions on the fly. Secondly, it simplifies the integration test setup by eliminating the need to set up and tear down external services in some cases. Finally, it allows for more reliable and deterministic integration tests by ensuring that HTTP interactions are always replayed with the same response. Overall, `pytest-vcr` is a valuable tool for simplifying integration test setup and improving their reliability This commit adds the `pytest-vcr` package as a dependency for integration tests in the `pyproject.toml` file. It also introduces two new fixtures in `tests/integration_tests/conftest.py` files for managing cassette directories and VCR configurations. In addition, the `tests/integration_tests/vectorstores/test_elasticsearch.py` file has been updated to use the `@pytest.mark.vcr` decorator for recording and replaying HTTP interactions. Finally, this commit removes the `documents` fixture from the `test_elasticsearch.py` file and replaces it with a new fixture defined in `tests/integration_tests/vectorstores/conftest.py` that yields a list of documents to use in any other tests. This also includes my second attempt to fix issue : https://github.com/hwchase17/langchain/issues/2386 Maybe related https://github.com/hwchase17/langchain/issues/2484	2 years ago
Davit Buniatyan	b4914888a7	Deep Lake upgrade to include attribute search, distance metrics, returning scores and MMR (#2455 ) ### Features include - Metadata based embedding search - Choice of distance metric function (`L2` for Euclidean, `L1` for Nuclear, `max` L-infinity distance, `cos` for cosine similarity, 'dot' for dot product. Defaults to `L2` - Returning scores - Max Marginal Relevance Search - Deleting samples from the dataset ### Notes - Added numerous tests, let me know if you would like to shorten them or make smarter --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>	2 years ago
leo-gan	fd69cc7e42	Removed duplicate BaseModel dependencies (#2471 ) Removed duplicate BaseModel dependencies in class inheritances. Also, sorted imports by `isort`.	2 years ago
sergerdn	b410dc76aa	fix: elasticsearch (#2402 ) - Create a new docker-compose file to start an Elasticsearch instance for integration tests. - Add new tests to `test_elasticsearch.py` to verify Elasticsearch functionality. - Include an optional group `test_integration` in the `pyproject.toml` file. This group should contain dependencies for integration tests and can be installed using the command `poetry install --with test_integration`. Any new dependencies should be added by running `poetry add some_new_deps --group "test_integration" ` Note: New tests running in live mode, which involve end-to-end testing of the OpenAI API. In the future, adding `pytest-vcr` to record and replay all API requests would be a nice feature for testing process.More info: https://pytest-vcr.readthedocs.io/en/latest/ Fixes https://github.com/hwchase17/langchain/issues/2386	2 years ago
Kacper Łukawski	585f60a5aa	Qdrant update to 1.1.1 & docs polishing (#2388 ) This PR updates Qdrant to 1.1.1 and introduces local mode, so there is no need to spin up the Qdrant server. By that occasion, the Qdrant example notebooks also got updated, covering more cases and answering some commonly asked questions. All the Qdrant's integration tests were switched to local mode, so no Docker container is required to launch them.	2 years ago
Eli	12f868b292	Propagate "filter" arg in Chroma similarity_search (#1869 ) Technically a duplicate fix to #1619 but with unit tests and a small documentation update - Propagate `filter` arg in Chroma `similarity_search` to delegated call to `similarity_search_with_score` - Add `filter` arg to `similarity_search_by_vector` - Clarify doc strings on FakeEmbeddings	2 years ago
Maurício Maia	f155d9d3ec	Add metadata filter to PGVector search (#1872 ) Add ability to filter pgvector documents by metadata.	2 years ago
Maurício Maia	2212520a6c	Add PGVector collection metadata (#1887 ) The `CollectionStore` for `PGVector` has a `cmetadata` field but it's never used. This PR add the ability to save metadata information to the collection.	2 years ago
LeoGrin	3701b2901e	use namespace argument in Pinecone constructor (#1757 ) Fix #1756 Use the `namespace` argument of `Pinecone.from_exisiting_index` to set the default value of `namespace` for other methods. Leads to more expected behavior and easier integration in chains. For the test, I've added a line to delete and rebuild the `langchain-demo` index at the beginning of the test. I'm not 100% sure if it's a good idea but it makes the test reproducible.	2 years ago
Kacper Łukawski	4a327dd1d6	Implement basic metadata filtering in Qdrant (#1689 ) This PR implements a basic metadata filtering mechanism similar to the ones in Chroma and Pinecone. It still cannot express complex conditions, as there are no operators, but some users requested to have that feature available.	2 years ago
Harrison Chase	0b29e68c17	Harrison/pgvector (#1679 ) Co-authored-by: Aman Kumar <krsingh.aman@gmail.com>	2 years ago
Xin Qiu	4e13cef05a	feat: add redisearch vectorstore (#1307 ) # Description Add `RediSearch` vectorstore for LangChain RediSearch: [RediSearch quick start](https://redis.io/docs/stack/search/quick_start/) # How to use ``` from langchain.vectorstores.redisearch import RediSearch rds = RediSearch.from_documents(docs, embeddings,redisearch_url="redis://localhost:6379") ```	2 years ago
Harrison Chase	a1b9dfc099	Harrison/similarity search chroma (#1434 ) Co-authored-by: shibuiwilliam <shibuiyusuke@gmail.com>	2 years ago
Kacper Łukawski	9ac442624c	Add Qdrant named arguments (#1386 ) This PR: - Increases `qdrant-client` version to 1.0.4 - Introduces custom content and metadata keys (as requested in #1087) - Moves all the `QdrantClient` parameters into the method parameters to simplify code completion	2 years ago
Harrison Chase	166cda2cc6	Harrison/deeplake (#1316 ) Co-authored-by: Davit Buniatyan <d@activeloop.ai>	2 years ago
Harrison Chase	aaad6cc954	Harrison/atlas db (#1315 ) Co-authored-by: Brandon Duderstadt <brandonduderstadt@gmail.com>	2 years ago
Naveen Tatikonda	0118706fd6	Add Support for OpenSearch Vector database (#1191 ) ### Description This PR adds a wrapper which adds support for the OpenSearch vector database. Using opensearch-py client we are ingesting the embeddings of given text into opensearch cluster using Bulk API. We can perform the `similarity_search` on the index using the 3 popular searching methods of OpenSearch k-NN plugin: - `Approximate k-NN Search` use approximate nearest neighbor (ANN) algorithms from the [nmslib](https://github.com/nmslib/nmslib), [faiss](https://github.com/facebookresearch/faiss), and [Lucene](https://lucene.apache.org/) libraries to power k-NN search. - `Script Scoring` extends OpenSearch’s script scoring functionality to execute a brute force, exact k-NN search. - `Painless Scripting` adds the distance functions as painless extensions that can be used in more complex combinations. Also, supports brute force, exact k-NN search like Script Scoring. ### Issues Resolved https://github.com/hwchase17/langchain/issues/1054 --------- Signed-off-by: Naveen Tatikonda <navtat@amazon.com>	2 years ago
Andrew White	c5015d77e2	Allow k to be higher than doc size in max_marginal_relevance_search (#1187 ) Fixes issue #1186. For some reason, #1117 didn't seem to fix it.	2 years ago
Noah Gundotra	8c5fbab72d	[Integration Tests] Cast fake embeddings to ALL float values (#1102 ) Pydantic validation breaks tests for example (`test_qdrant.py`) because fake embeddings contain an integer. This PR casts the embeddings array to all floats. Now the `qdrant` test passes, `poetry run pytest tests/integration_tests/vectorstores/test_qdrant.py`	2 years ago
seanaedmiston	f0a258555b	Support similarity search by vector (in FAISS) (#961 ) Alternate implementation to PR #960 Again - only FAISS is implemented. If accepted can add this to other vectorstores or leave as NotImplemented? Suggestions welcome...	2 years ago
Anton Troynikov	d43d430d86	Chroma persistence (#1028 ) This PR adds persistence to the Chroma vector store. Users can supply a `persist_directory` with any of the `Chroma` creation methods. If supplied, the store will be automatically persisted at that directory. If a user creates a new `Chroma` instance with the same persistence directory, it will get loaded up automatically. If they use `from_texts` or `from_documents` in this way, the documents will be loaded into the existing store. There is the chance of some funky behavior if the user passes a different embedding function from the one used to create the collection - we will make this easier in future updates. For now, we log a warning.	2 years ago
Anton Troynikov	78abd277ff	Chroma in LangChain (#1010 ) Chroma is a simple to use, open-source, zero-config, zero setup vectorstore. Simply `pip install chromadb`, and you're good to go. Out-of-the-box Chroma is suitable for most LangChain workloads, but is highly flexible. I tested to 1M embs on my M1 mac, with out issues and reasonably fast query times. Look out for future releases as we integrate more Chroma features with LangChain!	2 years ago
Harrison Chase	1e56879d38	Harrison/save faiss (#916 ) Co-authored-by: Shrey Joshi <shreyjoshi2004@gmail.com>	2 years ago
Kevin Huo	31b054f69d	Add pinecone integration test (#911 ) Basic integration test for pinecone	2 years ago
Harrison Chase	3f48eed5bd	Harrison/milvus (#856 ) Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com> Signed-off-by: Frank Liu <frank.liu@zilliz.com> Co-authored-by: Filip Haltmayer <81822489+filip-halt@users.noreply.github.com> Co-authored-by: Frank Liu <frank@frankzliu.com>	2 years ago
dham	e04b063ff4	add faiss local saving/loading (#676 ) - This uses the faiss built-in `write_index` and `load_index` to save and load faiss indexes locally - Also fixes #674 - The save/load functions also use the faiss library, so I refactored the dependency into a function	2 years ago
Harrison Chase	0b204d8c21	Harrison/quadrant (#665 ) Co-authored-by: Kacper Łukawski <kacperlukawski@users.noreply.github.com>	2 years ago
Samantha Whitmore	315b0c09c6	wip: add method for both docstore and embeddings (#119 ) this will break atm but wanted to get thoughts on implementation. 1. should add() be on docstore interface? 2. should InMemoryDocstore change to take a list of documents as init? (makes this slightly easier to implement in FAISS -- if we think it is less clean then could expose a method to get the number of documents currently in the dict, and perform the logic of creating the necessary dictionary in the FAISS.add_texts method. Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	2 years ago
Harrison Chase	c02eb199b6	add few shot example (#148 )	2 years ago

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79 Commits (20e9ce8a62a0747dcfb6494eddf5eb10760b9982)