Vector search extension for Amazon ElastiCache for Redis, featuring HNSW indexing for k-NN similarity, hybrid lexical+vector search with BM25 fusion capabilities. Used for enterprise semantic caching, real-time recommendations, and RAG applications. Integrated Redis module offers sub-microsecond latency vs standalone like Weaviate, optimized for hot data workloads.
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Amazon ElastiCache Vector Search
Amazon ElastiCache now supports vector indexing, searching, and updating billions of high-dimensional vectors with microsecond latencies and up to 99% recall.
Performance:
Scale:
Integration:
Semantic Caching:
Real-Time Search:
Available in AWS ElastiCache for Redis
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