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

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