# Redis Stack

> Browse 3 items tagged with Redis Stack.

## Items

- [Redis Vector Search](https://vectordb.ever.works/items/redis-vector-search) — Redis Vector Search (part of Redis Stack) enables vector similarity search on Redis with HNSW indexing, hybrid BM25+vector, and metadata filtering. It leverages Redis caching for low-latency real-time apps like semantic search. Vs dedicated DBs like Pinecone, Redis offers multi-model (JSON/KV + vectors) but requires more config for scale.
- [Redis](https://vectordb.ever.works/items/redis) — Redis Stack with vector search via RediSearch module, HNSW/Flat indexes on in-memory store. Features: Hybrid BM25+vector, real-time cache, multi-tenancy. Use cases: Caching LLM responses, high-throughput RAG. Comparisons: Faster than disk DBs for hot data; vs Memgraph: simpler key-value.
- [RediSearch](https://vectordb.ever.works/items/redisearch) — Redis Stack with vector search via RediSearch module, HNSW/Flat indexes on in-memory store. Features: Hybrid BM25+vector, real-time cache, multi-tenancy. Use cases: Caching LLM responses, high-throughput RAG. Comparisons: Faster than disk DBs for hot data; vs Memgraph: simpler key-value.

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_Canonical page: https://vectordb.ever.works/tags/redis-stack_