Apr 23
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[Intro] Building a RAG (Retrieval-Augmented Generation) prototype is easy, but making it reliable enough for production is where most developers get stuck. If your AI is giving "bad" answers, missing context, or hallucinating, your retrieval pipeline needs an upgrade. [What You’ll Learn] In this deep dive, we break down the three fundamental gaps in the RAG framework and provide the technical strategies to bridge them. We move beyond basic vector search to explore advanced techniques like Hybrid Search, Query Expansion, and Self-Reflection loops Welcome to AI Tech Insights! 🤖 We create AI-powered educational videos about technology, artificial intelligence, and the future of innovation. New videos uploaded regularly. Subscribe to stay updated!