
Vector search: HotKV vs Redis 8 vector sets, from 1 to 100 clients
HotKV and Redis 8.10.2 vector search on 100,000 and 999,000 embeddings from 1 to 100 clients: throughput, latency, recall, loading speed, memory and limits.
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Measured HotKV results, including test configurations, competing systems, workload limitations and the evidence behind performance claims.
2 articles in Benchmarks

HotKV and Redis 8.10.2 vector search on 100,000 and 999,000 embeddings from 1 to 100 clients: throughput, latency, recall, loading speed, memory and limits.

Four Claude models, 3,000 support requests each: HotKV caching cut model calls, tokens and API cost by about 70%. Results and answer-quality trade-offs.
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