Vector Search Latency Crisis: What I Learned Integrating RAGFlow's Memory Layer
This story is from 2026-10-17. It is preserved in the archive; the latest stories are on the live feed.
The Problem: When Your Vector Search Becomes Your Bottleneck While integrating RAGFlow into our agent memory pipeline, we hit a wall at around 50 concurrent document insertions per second. Query latency spiked from 80ms to 4+ seconds, and recall rates dropped by 30%. The culprit? HNSW index locks a…
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- 2026-10-17 22:28 · DEV Community — AI
Vector Search Latency Crisis: What I Learned Integrating RAGFlow's Memory Layer