Redis
In-memory vector database for low-latency similarity search across AI applications
Redis provides vector search as part of its in-memory data platform, using its built-in Query Engine for vector similarity search across text, image, and video embeddings. Supports hybrid search combining full-text and vector similarity, multiple search algorithms, and works with embeddings from any provider. The in-memory architecture delivers low-latency queries at scale.
Pricing: Free / usage-based
Redis Alternatives
Explore 25 products in the Vector databases category. View all Redis alternatives.
Supabase Vector
Open-source Postgres vector database and AI toolkit built on pgvector
Turbopuffer
Serverless vector and full-text search engine built on object storage for cost-efficient scale
Qdrant
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology.
TopK
AI-native search engine combining vector, keyword, and faceted search
Cloudflare Vectorize
Serverless vector database on Cloudflare's global network
Typesense
Open-source typo-tolerant search engine with built-in vector and hybrid search
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