Within the context engine, Qdrant provides vector search with 768-dimensional embeddings and uses qdrant-client so that semantic retrieval is handled by a dedicated vector database.

| Qdrant | Vector search, 768d embeddings | qdrant-client |

— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md

five storage/messaging backends

— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md

### Architecture

— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md