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Retrieval-augmented generation (RAG) grounds LLM answers in retrieved documents rather than training data. The global RAG market is projected to grow from $1.94 billion in 2025 to $9.86 billion by 2030. Most deployments fail due to upstream issues like poor document chunking, not model quality problems.
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