A comprehensive tutorial demonstrating how to build an automated PubMed literature search system using LangChain and Python. The implementation includes a complete class for querying biomedical literature, parsing results, caching data, and creating visualizations for trend analysis. The system supports comparative analysis between research topics and can be enhanced with Google Gemini AI for intelligent querying capabilities.
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