6 Commits (6eacd88ae79b976d8c9744abdec488c693ab883a)

Author	SHA1	Message	Date
Naveen Tatikonda	782df1db10	OpenSearch: Add Similarity Search with Score (#4089) ... ### Description Add `similarity_search_with_score` method for OpenSearch to return scores along with documents in the search results Signed-off-by: Naveen Tatikonda <navtat@amazon.com>	1 year ago
Harrison Chase	ab749fa1bb	Harrison/opensearch logic (#3631) ... Co-authored-by: engineer-matsuo <95115586+engineer-matsuo@users.noreply.github.com>	1 year ago
Naveen Tatikonda	bb6c459f7a	OpenSearch: Add Support for Lucene Filter (#3201) ... ### Description Add Support for Lucene Filter. When you specify a Lucene filter for a k-NN search, the Lucene algorithm decides whether to perform an exact k-NN search with pre-filtering or an approximate search with modified post-filtering. This filter is supported only for approximate search with the indexes that are created using `lucene` engine. OpenSearch Documentation - https://opensearch.org/docs/latest/search-plugins/knn/filter-search-knn/#lucene-k-nn-filter-implementation Signed-off-by: Naveen Tatikonda <navtat@amazon.com>	1 year ago
Naveen Tatikonda	3453b7457c	OpenSearch: Add Support for Boolean Filter with ANN search (#3038) ... ### Description Add Support for Boolean Filter with ANN search Documentation - https://opensearch.org/docs/latest/search-plugins/knn/filter-search-knn/#boolean-filter-with-ann-search ### Issues Resolved https://github.com/hwchase17/langchain/issues/2924 Signed-off-by: Naveen Tatikonda <navtat@amazon.com>	1 year ago
Naveen Tatikonda	4364d3316e	Add custom vector fields and text fields for OpenSearch (#2652) ... **Description** Add custom vector field name and text field name while indexing and querying for OpenSearch **Issues** https://github.com/hwchase17/langchain/issues/2500 Signed-off-by: Naveen Tatikonda <navtat@amazon.com>	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