Google Vector Search

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.

Vector search plugin for Azure Cache for Redis via RediSearch module, supporting HNSW/Flat indexes, hybrid lexical+vector with BM25 fusion, metadata filtering. Suited for enterprise semantic caching, real-time RAG, and recommendations. Integrated caching layer provides sub-ms latency vs standalone vector DBs like Weaviate.

Native vector search in MongoDB Atlas enabling semantic search alongside document data with HNSW indexing and filtering capabilities.

Search platform with vector search capabilities for fast and relevant AI-powered recommendations and discovery.

Edge-native managed vector database integrated with Cloudflare Workers. Supports 50,000 namespaces and up to 5M vectors per index for low-latency applications.

Managed database built on Cassandra with vector search capabilities, excelling in real-time updates and immediate consistency. Ideal for operational workloads requiring high throughput.