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How to Build a Production-Ready RAG Chatbot: A Step-by-Step Tutorial

1. Understanding RAG Architecture and When to Use It

• Break down the core components: ingestion pipeline, vector store, retriever, and LLM with context injection.
• Compare RAG against fine-tuning — explain cost, freshness, and domain-specific trade-offs.
• Map real-world use cases: customer support, internal knowledge bases, research assistants, and compliance-heavy domains.

2. Setting Up Your Development Environment

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