In-memory vector search built into Redis — no separate DB needed
Redis Vector Search adds native vector similarity search to Redis, enabling low-latency semantic search on data already in Redis. With Redis Stack, you get vector indexing, hybrid search, and filtering alongside your existing caching and pub/sub workloads.
The memory layer — stores and retrieves vector embeddings for RAG and semantic search
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