Redis Vector
Redis Vector is a high-performance vector database solution built on Redis's in-memory architecture.
Free + paidWebDesktopAPIMultimodal
Visit websiteredis.io
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Redis Vector is a high-performance vector database solution built on Redis's in-memory architecture. It supports storage, indexing, and search of large-scale vector embeddings, performing real-time dense vector searches using HNSW and FLAT indexing algorithms. Optimized for latency-sensitive AI applications like RAG, recommendation systems, and image search, it offers seamless integration with the existing Redis ecosystem and provides the Redis VL library for easy Python integration.
Key features
- Ultra-low latency in-memory vector search
- HNSW and FLAT indexing support
- Hybrid search (Filtering + Vector)
- Real-time data updates and indexing
- Redis VL Python client
- Multiple distance metrics (Cosine, L2, IP)
- RAG architecture optimization
Pricing
Use cases
- Real-time RAG
- Semantic Similarity Search
- Real-time Recommendation Systems
- Image and Video Search
Who it is for
AI EngineersBackend DevelopersData scientists
Integrations
LangChainLlamaIndexOpenAIHugging Face
Tags
RAGRedis
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/30/2026Verified sources: 1
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