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Build a Custom AI Document Q&A System with RAG (Retrieval-Augmented Generation)

1. What Is RAG and Why It Matters for Your Business

• Understand the core RAG workflow: retrieve relevant chunks from your documents, then feed them to an LLM for grounded answers.
• Compare RAG to fine-tuning: when to use each approach and why RAG wins for

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