How does PandaWiki's AI Smart Quiz feature work? What do I need to pay attention to when I actually use it?

2025-08-21

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AI Q&A Mechanisms and Optimization Strategies

The function builds a semantic understanding engine based on the content of the knowledge base, and its workflow is divided into three stages:

Intent recognition: Parsing the real needs of user questions through NLP techniques (e.g., "configure server" may be related to installation manuals or troubleshooting).
knowledge retrieval: Finding the most semantically relevant passages in a vectorized stored document
Answer Generation: Convert raw technical documentation into natural language responses

Core considerations for use include:

Content quality dependency: AI answer accuracy is directly affected by the completeness and professionalism of the knowledge base documentation, and it is recommended that the technical documentation be updated on a regular basis.
Feedback optimization mechanism: When an inaccurate answer is found, the source document should be synchronized and corrected rather than simply changing the answer
Multi-Wheel Interaction Design: Complex questions are recommended to be split into multiple sub-questions to get more precise answers.