redis-vector-search
OfficialMaster Redis vector search for RAG workflows.
Authorredis
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Redis vector search often requires careful index configuration, algorithm choice, and hybrid filtering to deliver relevant results from embeddings.
Core Features & Use Cases
- Index configuration: Choose DIM, DISTANCE_METRIC, and TYPE to align embeddings with Redis indexes.
- Algorithm selection: Decide between HNSW and FLAT, tuning M, EF_CONSTRUCTION, and EF_RUNTIME.
- RAG integration: Build end-to-end retrieval-augmented generation pipelines using RedisVL.
- Use Case: Build a retrieval system that answers user questions by retrieving relevant documents and feeding them to an LLM.
- Note: This skill complements redis-query-engine and redis-vector-search.
Quick Start
Define a vector index with matching dimensions and metrics, then configure a RAG workflow using RedisVL.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: redis-vector-search Download link: https://github.com/redis/agent-skills/archive/main.zip#redis-vector-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 510,000+ vetted skills library on demand.