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https://github.com/hwchase17/langchain
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### Adding the functionality to return the scores with retrieved documents when using the max marginal relevance - Description: Add the method `max_marginal_relevance_search_with_score_by_vector` to the FAISS wrapper. Functionality operates the same as `similarity_search_with_score_by_vector` except for using the max marginal relevance retrieval framework like is used in the `max_marginal_relevance_search_by_vector` method. - Dependencies: None - Tag maintainer: @rlancemartin @eyurtsev - Twitter handle: @RianDolphin --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> |
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.. | ||
cassettes | ||
docarray | ||
docker-compose | ||
fixtures | ||
__init__.py | ||
conftest.py | ||
fake_embeddings.py | ||
test_alibabacloud_opensearch.py | ||
test_analyticdb.py | ||
test_annoy.py | ||
test_atlas.py | ||
test_awadb.py | ||
test_azuresearch.py | ||
test_cassandra.py | ||
test_chroma.py | ||
test_clarifai.py | ||
test_clickhouse.py | ||
test_deeplake.py | ||
test_elasticsearch.py | ||
test_faiss.py | ||
test_hologres.py | ||
test_lancedb.py | ||
test_milvus.py | ||
test_mongodb_atlas.py | ||
test_myscale.py | ||
test_opensearch.py | ||
test_pgvector.py | ||
test_pinecone.py | ||
test_qdrant.py | ||
test_redis.py | ||
test_rocksetdb.py | ||
test_singlestoredb.py | ||
test_tair.py | ||
test_vectara.py | ||
test_weaviate.py | ||
test_zilliz.py |