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RAG Retrieval Strategies on a 50k-Document Dataset: BM25 vs Dense vs Hybrid

TL;DR On 50k documents, retrieval quality matters more than your choice of vector database. At this size you can run exact search and skip the infrastructure. BM25 is great at exact terms (error codes, names, IDs) and weak at paraphrases. Dense retrieval is the reverse. Hybrid (BM25 + dense, merged…

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  1. 2026-10-06 15:09 · DEV Community — Machine Learning
    RAG Retrieval Strategies on a 50k-Document Dataset: BM25 vs Dense vs Hybrid

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