985121ad4339c098343c64e2609b95ef6fd24843c5b8383fbca68ba3b83c2ef6
active
contextual
axiomatic
The vector storage layer uses Qdrant with the all-mpnet-base-v2 embedding model at 768 dimensions so that document and memory vectors are stored in a consistent embedding space.
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
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Vector Storage (Qdrant)
— PYRANA_PLATFORM_ARCHITECTURE_REFERENCE.md
Effective from: 7/16/2026, 11:30:45 PM