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Jimmy Goode//Updated /9 min read/AI Workflows

Building a RAG Pipeline That Works

How to build retrieval-augmented generation that returns relevant results.

ragaisearchembeddings

Most RAG fails due to bad chunking, no reranking, missing metadata. Fix: hybrid search with vector plus BM25, cross-encoder reranking, fewer higher-quality chunks. RAG is 80 percent retrieval.

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