Uploaded March 2025 | Updated September 2026, 1 week ago

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In this video, we dive into Retrieval-Augmented Generation (RAG)—a powerful framework that combines data retrieval with AI-generated responses to deliver accurate, context-rich answers.

What You’ll Learn:
• 📥 The two key components of RAG:
1️⃣ Retriever - Finds relevant data from databases
2️⃣ Generator - Uses LLMs to create coherent, data-backed responses
• ⚡ How RAG processes data using embedding models & vector databases
• 💼 Real-world applications in customer support, financial analysis, and knowledge management

Discover how RAG bridges the gap between data precision and AI creativity, delivering the best of both worlds.

#GenerativeAI #RAG #H2Oai #LLM #AIInnovation #DataRetrieval #AITraining #h2oGPTe