Learn how grounding connects AI responses to verified data sources, reducing hallucinations and improving accuracy in your AI chatbot.
More about Grounding (AI)
Grounding in AI refers to the practice of anchoring model responses to specific, verified information sources rather than relying solely on the model's training data. Grounded AI systems retrieve relevant facts before generating responses, significantly reducing hallucinations.
Retrieval Augmented Generation (RAG) is the most common grounding technique, where the AI searches a knowledge base or vector database to find relevant information before formulating its answer.
