Unverified50% confidenceBenchmarkExact time
HNSW（层级可导航小世界图）算法在千万级向量库中的检索延迟可控制在 10ms 以内
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
ECC：AI编程助手的智能体增强框架，五大核心能力解析
githubGitHub Trending7/3/2026
Related Claims
UnverifiedThe HNSW algorithm enables approximate nearest-neighbor search over hundred-million-scale vectors to complete within 10 milliseconds with a recall rate of over 98%, and is the standard index algorithm in mainstream vector databases.83% similarUnverifiedFor a photo library of 100,000 images, the semantic search response time with an HNSW index can typically be kept within 100 milliseconds.75% similarUnverified在超过 1 万条内容的库中，Deepmark 搜索响应时间控制在 100 毫秒以内71% similarUnverifiedThe single-inference latency of current mainstream LLMs is on the order of 1–10 seconds.69% similarUnverifiedPoint cloud downsampling typically reduces the point cloud scale to between 10,000 and 100,000 points to meet the real-time inference requirements of policy networks, and end-to-end latency in robot manipulation is usually required to be kept within tens of milliseconds.67% similar
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