教程 / 实战普通Do you need a vector database? Brute-force search benchmarked from 10k to 1M vectors信息来源:DEV Community·2026-10-07 19:01内容摘要Exact numpy search over 100k embeddings takes 3.5 ms on 2 vCPUs. Measured latency, memory and HNSW recall to show when an index actually pays off.内容分类AI 教程与实战内容层级普通情报发布时间(北京时间)2026-10-07 19:01本站收录时间(北京时间)2026-10-07 20:40信息来源DEV Community站内情报编号intel-4f3f8490e6f9f3704e7a5dc8阅读原始信息 ↗更多教程 / 实战分享文章