Accuracy Improvement Program
For legal/medical and other professional documents, LocalPdfChatRAG uses a triple optimization mechanism:
- domain adaptation: Replace in config.yaml with domain-specific embedding model (e.g. legal-bert for legal text)
- Terminology enhancement: Inject a domain glossary via the glossary.csv file to force the model to prioritize the use of standard terms
- graded calibration: Setting the confidence_threshold parameter to filter low confidence answers
Implementation steps::
- Set MODEL_TYPE=domain_specific in the .env file
- Place the specialized dictionaries in the . /data/glossary/ directory
- Adjusting the top_k parameter in rag_demo.py controls the search range
caveat: Medical documents recommend additionally enabling HIPAA compliant mode, where the system automatically blurs sensitive information.
This answer comes from the articleLocalPdfChatRAG: Intelligent Chat Tool to Support Local Multi-Source PDF Document Q&AThe
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