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Large language models are good at producing natural responses, but they’re limited by the information available to them. Ask a question about your company’s latest policies, internal documentation, or product manuals, and the model may respond with incomplete or outdated information because that knowledge was never part of its training. This is the problem Retrieval-Augmented […]
Enterprise AI conversations have changed over the past year. Large language models alone are no longer enough. Executives now ask a more practical question: how does the system access our real data safely and accurately? That is where Retrieval-Augmented Generation, also referred to as RAG, becomes completely relevant. Instead of relying solely on pretrained models, […]
