deep-research

To conduct deep research, you need a structured approach to gather information from multiple sources, track citations, persist evidence, and generate comprehensive structured reports with detailed analysis and documentation.

Evidence persistence in multi-source research involves storing and managing the specific evidence backing each claim. It is needed to ensure your structured research reports maintain verifiable accuracy and proper citation tracking.

Yes, you can use Python libraries like pypdf and pdfplumber to process PDFs for data extraction, and weasyprint to generate structured research reports. These dependencies support comprehensive text analysis and report formatting.

Yes, search-cli is required as a dependency to gather information from multiple external sources. It enables the deep research process by retrieving the diverse data needed for comprehensive analysis and citation tracking.

The best way to write a comprehensive report on a complex topic is to use a structured research approach. This involves gathering multi-source information, tracking citations, persisting evidence, and generating formatted structured reports with analysis.

Automated structured report generation requires specific Python dependencies like pypdf and weasyprint. It is limited by the quality of gathered information and may require manual intervention for complex, in-depth analysis and verifying evidence persistence.