A Systematic Approach to Improving AI Q&A Accuracy
The Q&A system for PandaWiki can be continuously optimized in the following ways:
- Knowledge base quality optimization::
- Ensure that uploaded documents are clearly structured and accurately presented (Markdown format preferred)
- Remove outdated content on a regular basis to keep information current
- Problem Sample Training: Add typical Q&A pairs to the "AI Training" module in the console to help models understand business scenarios.
- Feedback adjustment mechanism::
- Gather user feedback by setting up an "answer accuracy" rating button
- Manually optimize associated document content for low-scoring answers
- Search strategy optimization::
- Adjusting keyword weight settings
- Setting up a thesaurus to extend question comprehension
Advanced solution: developers can access the domain knowledge graph via API or adjust the temperature parameters of LLM to balance creativity and accuracy.
This answer comes from the articlePandaWiki: rapidly building an AI-powered knowledge base systemThe
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