Grounding Applications

Grounding connects AI models to real data sources and produces verifiable outputs. This method is used to reduce hallucinations in large language models (LLMs) and generate more reliable results. It works integrated with RAG (Retrieval-Augmented Generation) systems to base AI outputs on verifiable sources.