Semantic graph and QA over papers, patents, and internal memos with citation traceability. Unlock insights from your research data with AI-powered knowledge mapping.
Built for research teams that need to extract insights from complex documentation at scale
Automatically build interconnected knowledge graphs from research papers, patents, and documents
Ask questions in natural language and get precise answers with full citation traceability
Every insight links back to source documents with exact page and paragraph references
SOC 2 compliant with end-to-end encryption and role-based access control
Process and index new documents in real-time with sub-second query responses
Support for 50+ languages with cross-language semantic understanding
Three simple steps to transform your research documentation into actionable intelligence
Upload research papers, patents, internal memos, and any other documentation. Support for PDF, Word, LaTeX, and plain text formats.
Our semantic engine analyzes relationships, extracts key concepts, and builds an interconnected knowledge graph with full citation tracking.
Ask questions, explore connections, and get instant answers with precise citations. Export insights or integrate with your existing research workflow.
Join leading research teams and enterprises using RDKnowledge to unlock insights from their documentation