Which vector databases support hybrid search out of the box?

Qdrant, Weaviate, Milvus, Elasticsearch, and OpenSearch support hybrid search natively, combining dense vector similarity with sparse BM25 or learned sparse retrieval in a single query. Pinecone supports sparse-dense hybrid through its sparse-dense vectors feature. pgvector requires manual combination of vector search with PostgreSQL full-text search using tsvector. Weaviate and Qdrant both use Reciprocal Rank Fusion by default, while Elasticsearch offers multiple fusion strategies including RRF and linear score combination.