Before launching a Generative AI assistant to handle real customer support requests, you must verify the accuracy of its answers. LLM Evaluation Frameworks run automated query evaluations to catch hallucinated text.

Setting Up Evaluation Metrics

We evaluate model outputs across three primary dimensions: 1. Faithfulness: Does the bot's response contain facts not present in the vector source? 2. Answer Relevance: Did the agent directly address the customer's query? 3. Context Precision: Did the retrieval engine pull the correct manual pages?