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
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Weaviate
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