Redis (vector search)
In-memory vector search, semantic caching and agent memory.
Redis adds vector similarity search, hybrid filtering and vector sets to its in-memory data store — popular for semantic caching of LLM responses, RAG and short-term agent memory where latency matters.
- Vendor
- Redis
- Category
- Vector databases
- Pricing
- Freemium
- Open source
- No
- Platforms
- Cloud, Self-hosted
- Website
- redis.io
Features
- In-memory vector search
- Semantic caching
- Hybrid filters
Best for
- Real-time / low latency
- High volume / low cost
More vector databases
- pgvector — Open source. Vector similarity search inside Postgres.
- Pinecone — Pinecone. Fully managed serverless vector database.
- Qdrant — Qdrant. High-performance vector search engine in Rust.
- Chroma — Chroma. The open-source embedding database.
- Weaviate — Weaviate. AI-native open-source vector database.
- Milvus — Zilliz. Vector database for billion-scale workloads.
- Elasticsearch — Elastic. Search engine with dense, sparse and hybrid vector retrieval.
- Azure AI Search — Microsoft. Managed retrieval for RAG and agents on Azure.