Design Redis Search schemas and queries with explicit field types and retrieval goals.
Editorial review checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The source covers text, tags, numeric and vector fields, hybrid retrieval and operational index changes. It distinguishes search commands and profiling tools. Its value is connecting the index definition to the intended filters, ranking and aggregation behavior instead of treating vector search as a universal replacement for other retrieval.
Developers building Redis-backed search, recommendation or retrieval-augmented generation features.
Vector dimensions and distance metrics must match the embedding model. Query syntax depends on supported Redis features, and creating a new index can consume significant resources. A high similarity score does not demonstrate factual relevance or tenant authorization.
Unknown; inspect source requirements and supporting scripts.
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/redis/agent-skills/tree/a84871d065f398fed55e1633f66b66f731eb4e2b/skills/redis-search --skill redis-searchReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
85/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Define a representative judged query set, map fields deliberately and inspect the actual client and server versions. Implement a small search path, keep metadata filters explicit and use an alias-based migration where a live index must be replaced.
Test lexical, vector and combined queries with relevant and irrelevant examples. Inspect profile output, filtering and empty results, then verify index readiness and rollback before directing existing application traffic toward a new index generation.
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