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What is RAG (Retrieval-Augmented Generation) and why is it used in almost every modern AI assistant?
In this video, we break down the complete RAG architecture from scratch using simple visuals and real-world examples. You'll learn how AI systems retrieve knowledge from vector databases, how embeddings work, how semantic search finds relevant information, and how large language models generate accurate responses using retrieved context.
Topics covered:
• RAG Architecture
• Embeddings Explained
• Vector Databases
• Semantic Search
• ANN Search
• Cosine Similarity
• Chunking Strategies
• Reranking Models
• LLM Context Injection
• AI Hallucination Reduction
Whether you're a software engineer, AI engineer, student, or simply curious about how modern AI assistants work, this video will help you understand one of the most important concepts in Generative AI.
Music Credits:
Song: Elektronomia - Sky High [NCS Release]
Music provided by NoCopyrightSounds
Free Download/Stream: http://ncs.io/skyhigh
Watch: • Elektronomia - Sky High | Progressive Hous...