Course catalog assistant with knowledge gap detection for admissions
Admissions teams buried in repetitive enrollment questions
Students ask the same questions about courses, schedules, prerequisites, and enrollment deadlines
Admissions staff spend most of their time on repetitive email and chat inquiries
Course materials and program details are scattered across multiple documents and PDFs
No way to identify common knowledge gaps — where students consistently can't find answers
AI assistant trained on course catalogs and enrollment guides
An AI assistant that ingests your course catalogs, enrollment guides, financial aid documents, and institutional policies. Answers student questions with accurate, citation-backed information from official documents. Knowledge gap detection flags areas where documentation is missing or outdated.
Step-by-step flow from initial contact to resolution
"What are the prerequisites for the Data Science program?" — via website chat
RAG retrieves relevant sections from the course catalog PDF
LLM produces response with specific page and section citations from the catalog
"Are there any new AI electives this semester?" — no matching documents found
System detects missing content about new electives and creates a gap report for admins
How data flows through the system for this use case
Website chat widget
Course catalog and policy KB
Citation-backed response generation
Flags missing documentation
Gap reports + question analytics
Student questions enter the RAG pipeline and are matched against course catalogs and policy documents. Responses include specific citations. When the system can't find relevant documentation, knowledge gap detection creates reports for administrators to review and address.
Technologies powering this solution
Custom-built for your specific documents, workflows, and channels.