research-process-source

Structured research notes are documents generated by extracting key findings, claims with evidence-quality tags, and origin chains from URLs, PDFs, or documents. They provide a standardized format for organizing information and assessing source credibility during research workflows.

To extract claims and tag evidence quality, you process your source documents through an automated extraction pipeline that identifies key findings and applies credibility assessments. The system registers sources in a registry and writes structured notes to a designated directory.

Yes, you need extraction dependencies like playwright for web URLs and pdftotext for PDF documents to process research sources effectively. These tools enable the automated content ingestion required before generating structured notes.

Yes, you can process multiple URLs and PDFs into a structured research registry. The tool ingests various source types, registers each source in a central registry, and outputs structured notes with credibility assessments under a designated directory.

The best way to organize research findings from multiple document types is using an automation tool that standardizes output into structured notes. It extracts key findings, applies evidence-quality tags, and maintains a source registry to track origin chains across URLs and PDFs.