Input | |||
---|---|---|---|
Required Input | Type | Description | |
conversation | string | Conversation history between the user and the model provided as query and response pairs |
Output | ||
---|---|---|
Field | Description | |
Result | Returns a score, where higher scores indicate more coherent conversation | |
Reason | Provides a detailed explanation of the conversation coherence assessment |
What to do when Conversation Coherence is Low
- Review conversation history to identify where context breaks occurred
- Implement context window management to ensure important information is retained
- Consider reducing the length of conversation threads if context loss is persistent
Comparing Conversation Coherence with Similar Evals
- Conversation Resolution: While Coherence focuses on the flow and context maintenance throughout the conversation, Resolution evaluates whether the conversation reaches a satisfactory conclusion.
- Context Adherence: Coherence differs from Context Adherence as it evaluates the internal consistency of the conversation rather than adherence to external context.
- Completeness: Coherence focuses on the logical flow between messages, while Completeness evaluates whether individual responses fully address their queries.