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

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### Vector Storage (Qdrant)

PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md

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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

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