Grounding
Connecting AI responses to verified source documents to ensure accuracy.
Definition
Grounding refers to the practice of anchoring AI-generated responses to verified source documents or data. Rather than generating answers purely from trained knowledge, grounded AI systems reference specific documents and can cite their sources. This approach significantly reduces hallucination and enables users to verify information. RAG is the primary technique for achieving grounding in document intelligence systems.
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More in Core Concepts
Hybrid Search
Combining keyword and semantic search for more comprehensive results.
Retrieval Augmented Generation (RAG)
A technique that grounds AI responses in retrieved documents for accurate, cited answers.
Semantic Search
Search that understands the meaning of queries rather than just matching keywords.
AI Citations
References that trace AI-generated answers back to source documents.
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Understanding the terminology is the first step. See how Conductor applies these concepts to solve real document intelligence challenges.
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