Redis Stack with vector search via RediSearch module, HNSW/Flat indexes on in-memory store. Features: Hybrid BM25+vector, real-time cache, multi-tenancy. Use cases: Caching LLM responses, high-throughput RAG. Comparisons: Faster than disk DBs for hot data; vs Memgraph: simpler key-value.
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RediSearch
Redis module for full-text, secondary indexing, vector similarity (KNN/filtered/range).
RSALv2/SSPLv1
Open-source; Enterprise for clusters.
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