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https://github.com/hwchase17/langchain
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9355e3f5f5
Implementation of similarity_search_with_relevance_scores for quadrant vector store. As implemented the method is also compatible with other capacities such as filtering. Integration tests updated. #### Who can review? Tag maintainers/contributors who might be interested: VectorStores / Retrievers / Memory - @dev2049 |
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.. | ||
cassettes | ||
docarray | ||
docker-compose | ||
fixtures | ||
__init__.py | ||
conftest.py | ||
fake_embeddings.py | ||
test_analyticdb.py | ||
test_annoy.py | ||
test_atlas.py | ||
test_chroma.py | ||
test_clickhouse.py | ||
test_deeplake.py | ||
test_elasticsearch.py | ||
test_faiss.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_tair.py | ||
test_vectara.py | ||
test_weaviate.py | ||
test_zilliz.py |