How RAG Actually Works: Chunking, Embeddings, Retrieval, and Reranking Under the Hood
How RAG Actually Works: Chunking, Embeddings, Retrieval, and Reranking Under the Hood RAG feels simple on paper. Split documents into chunks, embed them, fetch the closest ones at query time. Done. That description hides half a dozen hard sub-problems. Split too coarsely and you retrieve paragraphs…
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- 2026-10-28 07:14 · DEV Community — Machine Learning
How RAG Actually Works: Chunking, Embeddings, Retrieval, and Reranking Under the Hood
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