Valkey: Querying

This documentation is part of the Vector search and RAG guide. View the full guide here: Semantic search, recommendations, and retrieval-augmented generation with Valkey.

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A K-nearest neighbors (KNN) query passes the vector as a parameter, using raw little-endian float32 bytes:

FT.SEARCH chunksIndex "*=>[KNN 5 @embedding $queryVector]"
  PARAMS 2 queryVector "<rawBytes>"

To combine vector search with filters, simply replace the * with your filter expression:

FT.SEARCH chunksIndex "@documentId:{doc42}=>[KNN 5 @embedding $queryVector]"
  PARAMS 2 queryVector "<rawBytes>"