Vector search with SurrealDB using HNSW indexes, KNN queries, and similarity scoring. Use when creating vector indexes, querying vectors with KNN distance operators, building semantic search or RAG pipelines, tuning HNSW parameters (EFC, M, M0, distance function, type), or implementing recommendation systems with SurrealDB.
安装
尚未确认此技能的独立目录。下面命令会打开仓库技能选择器，请按上游说明选择技能。
skills CLI
npx skills add surrealdb/agent-skills