7 Commits (e455ba4ed5c683fb9903fb19c980ae25010c91bb)

Author	SHA1	Message	Date
Magnus Friberg	d126276693	Specify which data to return from chromadb (#4393) ... # Improve the Chroma get() method by adding the optional "include" parameter. The Chroma get() method excludes embeddings by default. You can customize the response by specifying the "include" parameter to selectively retrieve the desired data from the collection. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	2451310975	Chroma fix mmr (#3897) ... Fixes #3628, thanks @derekmoeller for the issue!	1 year ago
Ankush Gola	c1521ddbdb	Add workaround for not having async vector store methods (#2733) ... This allows us to use the async API for the Retrieval chains, though it is not guaranteed to be thread safe.	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
Harrison Chase	a1b9dfc099	Harrison/similarity search chroma (#1434) ... Co-authored-by: shibuiwilliam <shibuiyusuke@gmail.com>	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