Inquisite
AI-powered semantic search over 100M+ research papers that extracts structured attributes and maps relationships across results.
What it does
Inquisite is an open toolset for AI-powered research that runs semantic search across more than 100 million research papers. Results can be viewed as a table, list, synthesis or relationship graph, with configurable attribute columns such as methodology, population, findings and limitations extracted per paper. Users can adjust search scope, filter by year, citations and open access, upload PDFs, and organize papers into projects; it works with user-supplied LLM API keys.
Core features
Semantic search across 100M+ research papers
Structured attribute extraction (methods, findings, limitations)
Table, list, synthesis and graph visualizations
PDF upload and import from URL
Project organization and adjustable search scope
Best for
→Running literature reviews across many papers
→Extracting comparable data points from studies
→Mapping relationships between research papers