Definition
Grounding
Grounding is the process of anchoring an AI model's generated outputs to verifiable real-world facts, external files, or structured databases. It keeps model predictions factual, grounded, and traceably accurate.
Frequently Asked Questions
What is the difference between grounding and fine-tuning?▼
Fine-tuning updates weights to change behavioral style. Grounding passes actual facts directly into the prompt context to keep answers accurate without updating weights.
How is grounding achieved?▼
Typically through RAG (Retrieval-Augmented Generation) systems that fetch matching documents and feed them as a context source to the LLM.
Quick Facts
- CategoryInformation Retrieval
- Key ApplicationEnterprise RAG pipelines, data verification checks, and search engines
Coverage Trend12 Weeks
12w agoToday
Related AI Terms
Grounding Media Coverage & Intelligence
arXiv AIJun 18, 2026
Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents
Production LLM agents increasingly depend on real-time search, yet native search grounding bundles retrieval policy, provider choice, evidence injection, cost,