Dev Tools · 20h ago
Bayesian Search Cuts RAG Latency 40% in Production Pipeline
A team rebuilt their RAG retrieval layer, moving from fixed 512-token chunks to adaptive strategies that improved recall@10 to 95%. They implemented Bayesian search to tune chunk size, overlap, and top-k parameters, reducing latency by 40%. The approach uses recursive chunking that respects document structure and a tunable retrieval pipeline.
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The piece offers practical, measurable improvements to RAG pipelines, but the 40% latency cut and 95% recall@10 are specific to their dataset and may not generalize.
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Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% →
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ragretrieval-augmented-generation