Meet Query RAG—the next evolution of AI-powered data access. Instead of relying on precomputed embeddings as in most RAG implementations, Query RAG enables AI agents to retrieve live data directly from enterprise systems, ensuring AI responses are always accurate, secure, and up to date.
What sets Query RAG apart from other text-to-SQL approaches? Rich business semantics. By understanding data relationships, context, documentation, and data profiles—not just structure—Query RAG delivers more precise and context-aware AI responses.