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RediSearch

Full-text search and vector similarity search engine for Redis

★ 6,163 GitHub RSALv2 redissearchvector-searchfull-text-searchredis-modulerag RAG & Wissen

Überblick

RediSearch is a Redis module that provides querying, secondary indexing, full-text search, and vector similarity search for Redis. It enables you to declare indexes on your Redis data and query it using a powerful query language. Features include exact-phrase matching, fuzzy search, numeric filtering, aggregations, and vector similarity search with compressed inverted indexes for fast indexing with low memory footprint.

Anforderungen

Min vCPU
1
Min RAM
512 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
1024 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  redisearch:
    image: redislabs/redisearch:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/redisearch:/data

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Anleitungen & Artikel

Building a RAG Pipeline with RediSearch Vector Search

A practical tutorial on building RAG pipelines with RediSearch vector search — from Docker setup to hybrid queries combining vector similarity with traditional filters.

Jun 28, 2026

RediSearch: Supercharge Redis with Full-Text and Vector Search

Learn how RediSearch transforms Redis into a full-featured search engine with full-text search, vector similarity, and secondary indexing for AI and RAG pipelines.

Jun 28, 2026