When to use RAG, fine-tuning, and agentic search

Prompt engineering must be validated first, as model failures often stem from poor prompting. Structured outputs, real examples, and refusal conditions fix prompt-level issues. RAG effectiveness depends on chunking, hybrid search, and reranking, not model strength. Improvements in retrieval mechanics significantly reduce errors without model changes.

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