RAG
Retrieval-augmented generation lets a model answer from your own documents. Here you'll find chunking, hybrid search, reranking, and the trade-offs against simply using a long context window.
2 articles tagged RAG.
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RAG
RAG that works: chunking, retrieval, and reranking
Most RAG failures are retrieval failures, not model failures. This guide covers the parts that decide quality: how to chunk, how to combine keyword and vector search, when to rerank, and how to measure retrieval separately.
Long context or RAG? How to choose
Bigger context windows didn't kill retrieval, and retrieval didn't make long context obsolete. This post gives you a practical way to pick between them, or combine them, based on your data and your questions.