RAG Explained: How Retrieval Augmented Generation Actually Works

Description

RAG (Retrieval Augmented Generation) was introduced in early 2021 to solve a critical problem — LLMs had tiny context windows and no access to external knowledge. In this short, we break down how RAG works, why vector databases like Chroma and Pinecone matter, and how embedding models power semantic search. Full RAG tutorial 👉 https://www.youtube.com/watch?v=vT-DpLvf29Q #RAG #RetrievalAugmentedGeneration #LLM #VectorDatabase #GenAI #AIEngineering #LLMOps #MLOps #NLP #SemanticSearch #AITutorial #RAGPipeline #EmbeddingModels #Pinecone #ChromaDB #OpenAI #AIForDevelopers #GenerativeAI #MachineLearning #KodeKloud