RAG meaning AI

RAG meaning AI refers to Retrieval-Augmented Generation in artificial intelligence, defining a methodology that enhances AI systems by integrating external knowledge retrieval with generative capabilities. This meaning encompasses AI architectures that can dynamically access and incorporate information from external databases, documents, and knowledge repositories during response generation, rather than relying solely on pre-trained model knowledge.

RAG meaning AI represents the evolution from static AI models to dynamic, knowledge-connected systems that can reference current information, proprietary data, and domain-specific content to produce accurate, contextually relevant outputs. The meaning includes technical components such as vector embeddings for semantic search, retrieval mechanisms for information access, and integration frameworks that combine external knowledge with AI generation processes. RAG meaning AI signifies improved accuracy, reduced hallucinations, and enhanced reliability for enterprise applications requiring factual precision and up-to-date information for autonomous decision-making and complex workflow execution.