Glossary

• Model: conversational agent configured through an API endpoint. They can be evaluated and tested within the Hub.

• Knowledge Base: domain-specific collection of information. You can have several knowledge bases for different areas of your business.

• Dataset: a collection of conversations used to evaluate your agents.

• Conversations: a collection of messages along with evaluation parameters, such as the expected answer or rules the agent must follow when responding.

• Correctness: Verifies if the agent’s response matches the expected output.

• Conformity: Ensures the agent’s response adheres to the rules, such as “The agent must be polite.”

• Expected Response: A reference answer used to determine the correctness of the agent’s response.

• Rules: A list of requirements the agent must meet when generating an answer. For example, “The agent must be polite.”