RAG (Retrieval Augmented Generation) explained

🔍 How is it possible that a language model can "read the internet"? 💡 That’s the power of Retrieval-Augmented Generation (RAG) — combining the strength of language models with real-time access to external knowledge. ⚙️ In this video I present how RAG works and why it matters. Perfect for anyone curious about LLMs, vector databases, or how ChatGPT plugins and tools like LangChain actually work under the hood. 🧾 Resources & References: - Lewis et al., "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks", arXiv, 2020 https://arxiv.org/abs/2005.11401 - https://en.wikipedia.org/wiki/Retrieval-augmented_generation - https://www.reddit.com/r/IndiaTech/comments/1czdgbp/google_al_overview_suggests_adding_glue_to_get/ 🎵 Music: - https://pixabay.com/music/meditationspiritual-piano-dreamcloud-meditation-179215/