✅ Structured Knowledge Base(Authoritative content repository)
✅ Intelligent Semantic Engine(Millisecond-accurate Q&A)
✅ Collaborative Editing System(Multi-role workflow support)
Providing researchers, tech teams, educational institutions, and enterprises with trusted knowledge infrastructure.
🔍 Precise Answer ExtractionAsk natural language questions (e.g., "Compare inference efficiency between Transformers and RNNs"). The AI engine extracts answers directly from verified sources like academic papers and technical documentation, filtering out low-quality web noise.
🌐 Traceable Sources Every answer includes citations (arXiv/conference papers/institutional reports) with direct links to original sources, ensuring information credibility.
📚 Multimodal Content Management
1.Markdown/Word import support
2.Tree-style folder taxonomy
3.Full version history (Complete edit audit trails)
4.🔄 Full Lifecycle Management
👥 Granular Permission Control
1.Guests (Read-only search)
2.Editors (Content creation/modification)
3.Admins (User/access/audit management)
🔒 Dual Deployment Modes
Public Demo: Instant AI search experience
Private Knowledge Base: Build confidential knowledge ecosystems after login (Supports SSO integration)
Pain point: Low efficiency in tracking cutting-edge tech
Solution: Subscribe to domain keywords (e.g., "diffusion models") for automated alerts on breakthrough papers
Pain point: Fragmented internal knowledge
Solution: Establish private knowledge bases to transform code standards/tech solutions into searchable assets
Pain point: Outdated teaching materials
Solution: Generate updated course cases using real-time arXiv/top-conference data
Native Markdown Support:Seamless GitHub/Wiki migration
Bulk Import:Cost less time
Audit Logs:Meet ISO compliance requirements
Trust-First Approach
Search-as-a-Service: Transform enterprise knowledge into internal "ChatGPT"
Zero Learning Curve: Build your first knowledge base in 10 minutes