langchain/tests/integration_tests/vectorstores
Kacper Łukawski 4a327dd1d6
Implement basic metadata filtering in Qdrant (#1689)
This PR implements a basic metadata filtering mechanism similar to the
ones in Chroma and Pinecone. It still cannot express complex conditions,
as there are no operators, but some users requested to have that feature
available.
2023-03-15 07:31:39 -07:00
..
__init__.py
fake_embeddings.py [Integration Tests] Cast fake embeddings to ALL float values (#1102) 2023-02-17 15:18:09 -08:00
test_atlas.py Harrison/atlas db (#1315) 2023-02-26 22:11:38 -08:00
test_chroma.py Harrison/similarity search chroma (#1434) 2023-03-04 08:10:15 -08:00
test_deeplake.py Harrison/deeplake (#1316) 2023-02-26 22:35:04 -08:00
test_elasticsearch.py Harrison/milvus (#856) 2023-02-02 22:05:47 -08:00
test_faiss.py Allow k to be higher than doc size in max_marginal_relevance_search (#1187) 2023-02-20 16:39:13 -08:00
test_milvus.py Harrison/milvus (#856) 2023-02-02 22:05:47 -08:00
test_opensearch.py Add Support for OpenSearch Vector database (#1191) 2023-02-20 18:39:34 -08:00
test_pgvector.py Harrison/pgvector (#1679) 2023-03-14 21:13:58 -07:00
test_pinecone.py Add pinecone integration test (#911) 2023-02-06 18:13:35 -08:00
test_qdrant.py Implement basic metadata filtering in Qdrant (#1689) 2023-03-15 07:31:39 -07:00
test_redis.py feat: add redisearch vectorstore (#1307) 2023-03-14 18:06:03 -07:00