What does RAG stand for AI

What does RAG stand for AI refers to Retrieval-Augmented Generation, an acronym that defines a foundational artificial intelligence methodology combining external knowledge retrieval with generative language model capabilities. RAG stands for three core components: Retrieval involves searching and accessing relevant information from external databases, documents, and knowledge repositories using semantic similarity; Augmented signifies enhancing and enriching the AI model’s context with retrieved information before generation; Generation encompasses producing informed, accurate responses based on both the model’s training and the retrieved external knowledge. This acronym represents AI systems that transcend traditional limitations by dynamically incorporating current information, proprietary data, and domain-specific knowledge during response creation. RAG stands for enhanced accuracy, reduced hallucinations, and improved factual grounding through technical implementation involving vector embeddings, semantic search, and context integration mechanisms essential for enterprise AI applications requiring reliable, up-to-date information access.