Redis Improves Performance of Vector Semantic Search with Multi-Threaded Query Engine
Briefly

By enabling queries to access the index concurrently, effectively allowing Redis to scale vertically, we enable scaling both the throughput of Redis operations and queries.
Redis claims that responses maintain sub-millisecond latency and that queries average latency under 10 milliseconds.
Redis asserts that its new multi-threaded approach effectively addresses these challenges, enabling Redis to maintain its high performance for simple operations while significantly improving throughput for compute-intensive operations like vector similarity searches.
Redis highlights, 'Scaling search efficiently requires combining the distribution of data loads horizontall
Read at InfoQ
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