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GLOSSARY TERM
What is Retrieval-Augmented Generation?
Enhancing generative models by querying an external knowledge base during inference.
RAG dynamically fetches factual, up-to-date documents to serve as context for the language model prompt. This grounds the model's generation in verifiable reality, effectively eliminating hallucinations in enterprise environments.
Factual Grounding Systems
Deploy zero-hallucination internal systems powered by secure Private AI.