As a developer, I want to experiment with "Grounding with Google Search" to evaluate its impact on the accuracy and reliability of snippet results. This involves turning on the feature and monitoring the changes in results, particularly focusing on the sources cited for grounding data.
Acceptance Criteria:
Enable Grounding:
Activate the "Grounding with Google Search" feature in the development environment.
Monitor Results:
Closely monitor the outputs generated with Google Search grounding.
Track which sources are cited as references for grounding data.
Evaluate Impact:
Assess how the grounding affects the overall quality and relevance of the snippet results.
Determine any improvements or issues introduced by using Google Search as a grounding mechanism.
Feedback Loop:
Collect feedback from team members on the effectiveness of the grounding.
Document observations and insights gained during the experiment.
Tasks:
Review the current snippet processing workflow to identify where Google Search grounding will be integrated.
Implement the necessary changes to enable grounding with Google Search.
Set up logging or monitoring tools to capture which sources are used for grounding.
Analyze the impact on snippet results by comparing with previous outputs without grounding.
Document findings and prepare a report on the experiment's results, including recommendations for further action.
Additional Notes:
Ensure that the experiment is conducted in a controlled environment to isolate the effects of Google Search grounding.
Engage with stakeholders to gather comprehensive feedback on the changes observed.
Consider potential privacy and compliance implications when integrating Google Search results.
As a developer, I want to experiment with "Grounding with Google Search" to evaluate its impact on the accuracy and reliability of snippet results. This involves turning on the feature and monitoring the changes in results, particularly focusing on the sources cited for grounding data.
Acceptance Criteria:
Tasks:
Additional Notes: