Summary
Qdrant provides vector similarity search; PostgreSQL provides relational data storage. They are commonly deployed together: relational data in PostgreSQL, vector embeddings in Qdrant, with the application joining on document IDs.
Evidence
- ·qdrant migration_notes position it as higher-throughput vector search at scale vs pgvector (technologies/qdrant.yaml)
- ·postgresql is the single authoritative transactional store (technologies/postgresql.yaml best_for)
Evidence grounding
Grounded, 2 supporting itemsQdrant serves vector search alongside PostgreSQL's authoritative transactional store; non-overlapping roles.