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
Choosing a vector database right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Choosing a vector database right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Redis Alternatives
Explore 26 products in the Vector databases category. View all Redis alternatives.
FAISS
Meta's open-source library for efficient similarity search and dense vector clustering
Supabase Vector
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Turbopuffer
Serverless vector and full-text search engine built on object storage for cost-efficient scale
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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