surrealdb-vector

Guides implementation of SurrealDB vector search with index definitions, nearest-neighbor queries, and similarity scoring.

When to use it

Use when creating vector indexes, writing nearest-neighbor queries, building semantic search or RAG pipelines, tuning HNSW, or implementing recommendations.

It changes how the agent implements SurrealDB vector indexes, nearest-neighbor queries, and similarity scoring in project code.