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RedisStack

Redis with integrated modules for vector search, JSON, and search capabilities

★ 75,000 GitHub RSALv2/SSPL redisvector-searchragin-memory-databasesearch-enginejson RAG & Wissen

Überblick

RedisStack extends Redis with powerful modules including RediSearch for full-text and vector search, RedisJSON for native JSON document storage, RedisTimeSeries for time-series data, and RedisBloom for probabilistic data structures. With 75k+ GitHub stars, Redis is the world's most popular in-memory data structure store. RedisStack bundles these capabilities together, making it the ideal choice for building AI applications with vector similarity search, RAG pipelines, and real-time data processing. Deploy via Docker for a fully-featured Redis instance with all modules pre-installed and ready to use.

Anforderungen

Min vCPU
1
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
1024 MB
Rec Disk
20 GB

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Docker Compose

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

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