Capabilities

Mode	Input	Retrieval
Dense	Dense embeddings	Qdrant universal query, with legacy search fallback for custom clients
Hybrid	Dense and sparse embeddings	Prefetched named-vector results fused with RRF or DBSF

Both modes support deterministic document replacement, logical document deletion and retrieval, paginated inspection, metadata filters, multiple embeddings per logical document, search, searchIds, and asTool(). Mutations accept Qdrant wait, ordering, and timeout controls.

Dense-only and hybrid collection/index modes cannot be mixed. Hybrid defaults to named vectors dense and sparse; configure matching names across creation, ingestion, and query.

Existing collections are validated against the configured vector size, distance, and dense/hybrid shape before the store is returned. The adapter does not manage aliases, snapshots, replicas, shards, payload indexes, or client lifecycle. See the API reference.