reference-finder

Generating academic references from raw research text involves analyzing your input document to extract research domains and key concepts, then producing per-domain paper references and concise summaries suitable for literature reviews and proposals.

Building a literature review bibliography from a single document is best handled by automated topic analysis that identifies relevant research domains from your text and outputs a Markdown report organized by domain with generated references and summary statistics.

Yes, you need a Gemini API key to extract research domains and generate markdown reports, because the domain extraction and reference generation processes operate via Gemini AI, requiring the key to be configured in the config.yaml file before execution.

To automatically extract research domains and key concepts for a research proposal, prepare an input text file and run the extraction script with your file path, then review the confirmed domains to access the generated knowledge document in the output directory.

Yes, you can use topic analysis to organize references by domain for knowledge documents, as the process identifies relevant research domains from user-provided text and outputs a structured Markdown report containing summaries and references categorized by each extracted domain.