62 Commits (6eacd88ae79b976d8c9744abdec488c693ab883a)

Author	SHA1	Message	Date
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