Intro:
When building chatbots on Copilot Studio, you might encounter multiple options for recommending knowledge sources. With various patterns and numerous documents, it can be tricky to provide consistent responses. However, by leveraging structured instructions for Copilot, you can enable more reliable and efficient information retrieval while building your chatbot.

Setup:
The experiment setup was on how to navigate knowledge on how to efficiently handle queries related to AI and data protection, I have downloaded authoritative documents from the ICO website, specifically "Guidance on AI and Data Protection 2.0" and "Regulating AI: The ICO’s Strategic Approach."
These documents serve as the primary knowledge sources. I have uploaded them into Copilot Studio, enabling structured and reliable information retrieval. By crafting precise instructions, I ensure that user requests are accurately interpreted, relevant content is extracted, and concise summaries are provided. This setup leverages the expertise of the ICO to deliver high-quality, informed responses to queries about AI and data protection.

Update to the instruction:

To ensure a structured and prioritized approach to handling queries related to AI and data protection, I have configured the orchestration engine to follow a specific pecking order for information retrieval.This setup ensures that responses are generated with a clear hierarchy, prioritizing the most relevant and reliable sources, thereby enhancing the accuracy and consistency of the information provided.