Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/rag-complexity-is-a-bet-against-the-model.
See how a minimal PostgreSQL RAG stack competed on MuSiQue and BRIGHT, using hybrid search, Claude, and systematic experiments to avoid pipeline complexity.
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A single PostgreSQL table with BM25 and HNSW indexes, paired with Claude through an MCP tool server, scored 0.418 exact match and 0.564 accuracy on a 500-question MuSiQue sample and achieved 0.556 mean nDCG@10 on BRIGHT. The experiments challenge the assumption that stronger RAG systems always need planners, knowledge graphs, rerankers, or fine-tuned retrievers. An evaluation loop rejected most additions, while retaining domain-specific prompts and concept sketches where retrieval genuinely struggled. The central argument: keep retrieval architecture minimal, test every added component, and let improving models handle more of the work.