Product Description
Marginalia is a complete frontend foundation for a source-grounded AI knowledge workspace. It brings documents, meetings, videos, and research into one searchable organizational brain while keeping every answer connected to citations, provenance, and confidence.
Answers that show their work
The interface is designed around trust rather than a generic chat box. Search, source context, evidence, confidence, and workspace navigation work together so users can understand where an answer came from and verify it quickly.
Ready for your retrieval stack
- Typed React components for marketing and knowledge-workspace routes
- Reusable search, answer, citation, source, library, and team interfaces
- Responsive layouts and production-ready SPA routing
- Mock data isolated for integration with ingestion, retrieval, and model services
- Hardened production bundles with source maps disabled
Scope
This product includes frontend source code and simulated knowledge data. It does not include document ingestion, transcription, embeddings, vector storage, retrieval infrastructure, AI model access, authentication backend, database, billing backend, or production API.
Complete page preview
Screens captured directly from every linked page in the live demo.
Marketing pages
1 screens
/Dashboard and app pages
6 screens
/app
/app/ask
/app/sources
/app/reports
/app/compare
/app/settings