Grounding
TechniquesConnecting AI model responses to verified, real-world information sources to reduce hallucination and improve accuracy.
Full Explanation
Grounding means the AI's responses are anchored to specific documents, data sources, or real-time web results — rather than generated purely from training data. RAG is a grounding technique. Web search integration (Perplexity, Gemini with Google Search) is grounding. Enterprise deployments ground AI on internal knowledge bases. Grounding is the primary solution to hallucination.
Related Terms
A technique that enhances LLM responses by retrieving relevant documents from an external knowledge base before generating an answer.
When an AI model generates confident-sounding but factually incorrect or fabricated information.
A database optimized for storing and searching embedding vectors — the foundation of RAG and semantic search applications.