Reducing hallucinations begins with effective context engineering – providing the smallest, most relevant context rather than the largest one, even if it is available in the LLM. Prevention is easier than catching and mitigating mistakes. As such, knowledge graphs play a key role by using their structure to rank and filter the most relevant information for a given question. They also support validation by providing targeted context to an ‘LLM-as-judge’, helping to verify responses before they reach the user.
Keywords: artificial intelligence data Generative AI Thought Leadership