LibraryConceptsGrounding AI Responses in Source Material
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Grounding AI Responses in Source Material

When you provide source material—documents, excerpts, or structured data—alongside your question, you prevent AI from hallucinating and keep its response tethered to verifiable information. This is essential when accuracy matters more than creativity or when you need to know exactly where a claim came from.

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Why It Matters

Grounding means anchoring an AI response to a specific document, data set, or piece of text you provide, instructing the model to draw only from that material rather than its general training knowledge.

This technique is essential when accuracy and source fidelity matter, because it reduces hallucination risk and makes it easy to verify that the output reflects your actual content rather than invented details.

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