Dual Optimization Strategies for RAG and Tool Integration
For vertical domain knowledge quiz scenarios:
- retrieval enhancementConfigure Retriever intelligence with vector search tools to bring structured data such as PDFs/databases into the processing pipeline.
- hybrid verification: Key Answers adopted
factCheckToolSecondary calibration, the tool can be docked to authoritative data sources such as Wolfram Alpha - Feedback Optimization: Record user-corrected answers using in-memory management and periodically generate fine-tuned datasets to update the model
Example of implementation: Medical Q&A scenarios can be combined病历检索工具+医学知识库RAG+专业术语解释器Three levels of intelligences, continuously optimized through console analysis of confidence scores for each module
This answer comes from the articleVoltAgent: TypeScript Open Source Framework for Rapidly Building AI IntelligentsiaThe
May not be reproduced without permission:AI productivity tools " How to Improve the Accuracy of Intelligent Bodies for Q&A in Specialized Areas?
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