A RAG-type web application that answers based solely on information existing in internal documents, with a verifiable flow from the answer back to the relevant source material. Rather than a chat interface, it is designed around a verification workflow of question → search → evidence extraction → answer → citation → source confirmation.
- Integrated AI Answers and Citations - Answers include document name, page, heading, and excerpt, with citations enabling navigation to the relevant location in Document Viewer
- Access Control - Evaluates viewing department before search and excludes documents outside access scope
- Hybrid Search - Combines vector search and keyword search
- Document Version Management - Prioritizes newer versions within the same document family and excludes older versions from normal search
- Flexible Filtering - Specify search conditions by category, department, document type, and date
- Evidence Visualization - Confirm search query, retrieved chunks, similarity scores, and answer generation stages in Developer View
- Multi-format Support - Document registration for PDF, DOCX, TXT, Markdown, CSV (maximum 8MB)
- Follow-up Support - Supplements previous conversation into search query and re-searches each time
- Returns "Cannot be confirmed from registered materials" when there is insufficient evidence
- As a hallucination countermeasure, prohibits answers and speculation outside of context
- As a prompt injection countermeasure, excludes imperative text from answer sources
- API keys are managed as server environment variables and not included on the client side
- Demo mode does not send data to external AI
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