What is Retrieval-Augmented Generation RAG AI

What is Retrieval-Augmented Generation RAG AI refers to an advanced artificial intelligence methodology that combines information retrieval with text generation to produce more accurate and contextually relevant responses. RAG AI systems work by first searching external knowledge databases to find pertinent information related to a user’s query, then feeding this retrieved data to a language model that generates comprehensive answers based on both its training and the newly accessed information. This approach addresses fundamental limitations of standalone language models, which can only draw from their fixed training datasets and may produce outdaWhat is retrieval-augmented generation rag ai combines data retrieval with AI generation. Learn implementation strategies.ted or inaccurate information. RAG AI enables real-time access to current data, proprietary documents, and specialized knowledge repositories, making it invaluable for applications requiring up-to-date information, fact-checking capabilities, and domain-specific expertise. The technology significantly reduces AI hallucinations while maintaining the natural language generation capabilities that make modern AI systems effective for complex communication tasks.