97419c2dda9b2b786f8d887bc4bbb77551cb26ae2c1e3125b2724690d75cdd1a
active
contextual
axiomatic
The vector storage layer uses Qdrant with the all-mpnet-base-v2 embedding model at 768 dimensions so that stored documents and memories share a consistent vector representation.
Supporting contexts
Quoteverbatim
### Vector Storage (Qdrant)
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Quoteverbatim
Embedding model: all-mpnet-base-v2 (768 dimensions)
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Quoteverbatim
Vector Storage (Qdrant)
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Effective from: 7/16/2026, 11:30:24 PM