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AI-RAG-GROUNDING5 MIN READ

Fresh Docs Beat Smart Guessing

Identify why document freshness, chunking, and indexing affect RAG answer quality.

RAG cannot rescue a stale knowledge base. It can only retrieve what you give it. Teach The retrieval step depends on preparation. Search systems need documents parsed, split into useful chunks, indexed, and refreshed. Microsoft describes content preparation as a core part of the RAG workflow, including chunking and indexing so relevant text can be retrieved later. In plain terms: your source library becomes the assistant's reading shelf. That shelf needs care. Old versions should be marked or removed. Long documents need chunking that preserves context. Sensitive or draft material should be excluded. If the retriever finds an outdated paragraph,…

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