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Vector DBFreemiumOpen Source
AEROSPIKE
Flash-optimized NoSQL database with native vector search
AGPL-3.0
ABOUT
Real-time AI apps need to store and query both operational records and high-dimensional embeddings without stitching a separate vector store onto a cache or key-value system. Aerospike combines a hybrid-memory NoSQL engine with native vector search so teams can serve lookups, filters, and similarity queries at millisecond latency on large datasets without managing a second database for RAG or recommendations.
INTEGRATION GUIDE
1. Store product or user embeddings next to operational records for real-time semantic search
2. Power RAG retrieval with filtered vector queries over large, frequently updated catalogs
3. Serve recommendation and personalization lookups at high QPS with predictable latency
4. Run hybrid searches that combine metadata filters with nearest-neighbor vector matching
TAGS
nosqlvector-searchin-memoryreal-timeembeddingsragdatabase