5 Commits (166cda2cc6719ab8c8d202b477c4496447a14c31)

Author	SHA1	Message	Date
Marc Puig	3989c793fd	Making it possible to use "certainty" as a parameter for the weaviate similarity_search (#1218) ... Checking if weaviate similarity_search kwargs contains "certainty" and use it accordingly. The minimal level of certainty must be a float, and it is computed by normalized distance.	1 year ago
Sason	cc7d2e5621	Correct typo in "Question Answering" How-To Guide (#1221)	1 year ago
Harrison Chase	5bdb8dd6fe	Harrison/unstructured io (#1200)	1 year 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>	1 year ago
Harrison Chase	4f3fbd7267	improve docs for indexes (#1146)	1 year ago