In the Context Engine, Qdrant provides vector search with 768-dimensional embeddings using qdrant-client so that semantic retrieval is supported through vector indexing.

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

— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md

Architecture

— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md

five storage/messaging backends

— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md