d8f91592d27728985212b08ec4a8f9c9e0ad9c28b89be8a02b1b5f99b66002a8
active
contextual
axiomatic
Qdrant provides vector search with 768-dimensional embeddings in the Context Engine using qdrant-client so that semantic retrieval can operate over embedding vectors.
Supporting contexts
Quoteverbatim
| Qdrant | Vector search, 768d embeddings | qdrant-client |
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Quoteverbatim
Vector search, 768d embeddings
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Quoteverbatim
qdrant-client
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Effective from: 7/16/2026, 11:29:14 PM