KMUTNB Central Library
AI-Driven Smart Digital Library
KMUTNB AI-Driven Smart Digital Library
An executive-ready demonstration platform integrating discovery, RAG assistance, course-linked recommendations, analytics, and trusted library service extension architecture.
System Status
Operational
{
"status": "ok",
"project": "KMUTNB AI-Driven Smart Digital Library",
"concept": "Library 5.0 + Seamless Learning + WALAI AutoLIB Extension",
"modules": [
"catalog",
"circulation",
"discovery",
"rag",
"recommender",
"analytics",
"lti"
]
}Total Records
4
WALAI, IR, and learning resources
Available Records
3
75% availability rate
RAG Evidence Coverage
100%
AI responses linked to evidence
Course Resource Links
3
Resources connected to learning workflows
Discovery Search
Federated search across WALAI, Institutional Repository, e-Resources, and vector index.
Open DiscoveryRAG Library Assistant
Evidence-based AI assistant for library discovery, course support, and research guidance.
Open AssistantCourse Recommendation
Course-linked and subject-based resource recommendation for seamless learning workflows.
View APIAnalytics Dashboard
Executive KPIs for availability, search usage, RAG evidence, and course-resource linkage.
Open DashboardFrontend Portal
Next.js + Tailwind
Responsive executive dashboard and smart library user experience.
AI/Data Layer
Qdrant + PostgreSQL
Ready for vector search, metadata intelligence, and RAG retrieval.
Governance Layer
Keycloak + RBAC
Foundation for SSO, role-based access, and audit-ready workflows.