b7a0d0c9b481a593009ace4e824b95983d31eec22d9bfaf7d69a0fcafc9ad51f
active
contextual
axiomatic
Within the Context Engine, Qdrant provides vector search using 768-dimensional embeddings through the qdrant-client.
Supporting contexts
Quoteverbatim
| Qdrant | Vector search, 768d embeddings | qdrant-client |
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Quoteverbatim
five storage/messaging backends
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Quoteverbatim
### Architecture
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Effective from: 7/16/2026, 11:29:09 PM