RedisStack
Redis with integrated modules for vector search, JSON, and search capabilities
★ 75,000 GitHub
RSALv2/SSPL redisvector-searchragin-memory-databasesearch-enginejson RAG & Knowledge
Overview
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.
Requirements
Min vCPU
1
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
1024 MB
Rec Disk
20 GB
Recommended VPS
Hostinger · KVM 2
2 vCPU · 8192 MB · 100 GB
Hostinger · KVM 2
2 vCPU · 8192 MB · 100 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Affiliate disclosure
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
Related tools
LangChain
Build context-aware reasoning applications powered by LLMs
Supabase
Open-source Postgres platform for AI apps with vector search, realtime subscriptions & built-in dashboard
Meilisearch
Lightning-fast search engine with AI-powered hybrid and vector search
PrivateGPT
Chat with your documents privately using LLMs — 100% local, no data leaks
Milvus
High-performance cloud-native vector database for scalable ANN search
LangChain-Chatchat
Local knowledge base Q&A with LangChain, ChatGLM, Qwen and Llama models