Reducing Hallucination in LLM Responses With Search Grounding
Hallucination is built into how LLMs work, and search grounding fixes it.
Priya Subramaniam
Section
6 stories in AI Agent Architecture.
Hallucination is built into how LLMs work, and search grounding fixes it.
Most live-web agent failures start with a bad fetch, not bad reasoning.
Static models hallucinate and go stale, and grounding fixes both.
Agents need live data, and CrewAI and AutoGen wire it differently.
Architecture, not model choice, decides if research agents work.
Runtime tool choice is where agents fail, and grounding is why.