Customized solutions for the field
Deep vertical adaptation is achieved by:
- Create a Professional Agent: Cloning
expert_agent.pyTemplate modification field parameters. - Building the knowledge base: Place local PDF/PPT etc. documents into the
local_docs/Folder.
Configuration steps
- modifications
config/domain_settings.yamlDefinition:- Domain Exclusive Crawler Rules
- White List of Professional Journals
- Industry Blacklist Keywords
- Train customized summary models (GPU support required):
python train_summarizer.py --domain medical
Typical Application Scenarios
- academic research: Connect to the school library API for paid papers.
- Business Analysis: Integrate real-time data streams from financial databases.
- technical research: Setting up patent search-specific crawler strategies.
This answer comes from the articleGPT Researcher: Generate comprehensive, detailed research reports utilizing local and web-based dataThe
May not be reproduced without permission:AI productivity tools " How to optimize the effectiveness of GPT Researcher for specific domains?
