RAG AI meaning

RAG AI meaning refers to Retrieval-Augmented Generation artificial intelligence, a methodology that defines how AI systems enhance their capabilities by combining generative language models with external knowledge retrieval mechanisms. The meaning encompasses AI systems that can access, retrieve, and incorporate information from external databases, documents, and knowledge repositories to produce more accurate, factually grounded responses.

RAG AI meaning represents a paradigm shift from isolated AI models to knowledge-connected systems that can reference current information beyond their training data. This approach means AI applications can provide up-to-date responses, access proprietary company data, and maintain factual accuracy by grounding outputs in verified sources. The meaning extends to technical implementation involving vector embeddings, semantic search, and context augmentation that transforms how AI systems process and generate information. RAG AI meaning signifies enhanced reliability, reduced hallucinations, and improved performance for enterprise applications requiring accurate, current information for decision-making and autonomous operations.