AI · 8h ago
Bayesian Search Cuts RAG Latency 40% in Production Pipeline
A team rebuilt their RAG retrieval layer to address production issues like broken legal clauses and noisy API docs. They implemented recursive chunking, adaptive retrieval, and Bayesian search, achieving 95% recall@10 and 40% latency reduction. The approach moves beyond fixed 512-token chunks and top-k heuristics.
Meridian48 take
The piece offers practical, reproducible optimizations for RAG in production, but the 40% latency cut depends on the specific stack and may not generalize to all use cases.
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Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% →
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raglatency-optimization