Knowledge & Search
Definition
A technique that enhances AI responses by retrieving relevant information from a knowledge base before generating an answer, producing more accurate and verifiable results.
Retrieval-Augmented Generation combines the power of large language models with real-time information retrieval. Instead of relying solely on training data, RAG systems search through your organization's documents, databases, and knowledge bases to find relevant context before generating a response. This produces answers that are grounded in your actual content, reducing hallucinations and ensuring up-to-date accuracy. For enterprises, RAG is the foundation of trustworthy AI assistants that can cite their sources and stay aligned with company knowledge.
