AI导哈

后端与数据库

redis-search

redis/agent-skills

Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines, zero-downtime index updates via aliases, and debugging with FT.PROFILE and FT.EXPLAIN. Use when defining a search index on Hash or JSON documents, writing FT.SEARCH queries with filters, sorting, aggregation, or vector KNN, tuning HNSW parameters, building a RAG retrieval pipeline, or troubleshooting slow or empty search results.

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安装命令

npx skills add https://github.com/redis/agent-skills --skill redis-search

SKILL.md

Redis Search

Single source of guidance for Redis Search — the retrieval surface that spans lexical, numeric, geo, JSON-path, and vector queries. Vector fields are part of the same FT.CREATE machinery as TEXT/TAG/NUMERIC fields, and FT.HYBRID blends lexical and vector ranking in one command, so this skill covers them together.

When to apply

  • Creating, modifying, or reviewing a Redis Search index (FT.CREATE, FT.ALTER).
  • Writing or optimizing FT.SEARCH, FT.AGGREGATE, or FT.HYBRID queries.
  • Picking between TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, or JSON-path fields.
  • Defining a VECTOR field, choosing HNSW vs FLAT, tuning HNSW parameters.
  • Building a retrieval-augmented generation (RAG) pipeline.
  • Rolling out a new index schema without downtime.
  • Troubleshooting empty results, slow queries, or tokenization issues with FT.EXPLAIN, FT.PROFILE, FT.INFO.

1. Pick the right command

Three query commands. Reach for the narrowest one that fits.

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