Graph N-hop Agentic RAG
Learn lectures, textbooks, past exams, and rubrics via Graph N-hop Agentic RAG. Cites evidence for every learner question.

Graph N-hop Agentic RAG, hybrid execution, instructor review takeover, and audit log - applicable across learning, assessment, and instructor support.
Education simultaneously faces individual pacing differences, instructor lecture/assessment workloads, narrative grading time, and demand for multilingual learning content.
AICLUDE's Graph N-hop Agentic RAG, hybrid execution engine, instructor review takeover, and audit log map directly to education needs. Tutor auto-answers + instructor final review, AI draft grading + instructor review, and auto-drafting assessment items from lecture materials are all in scope.
Learn lectures, textbooks, past exams, and rubrics via Graph N-hop Agentic RAG. Cites evidence for every learner question.
Captures learner intent, verifies, generates answers, and cites sources - minimizing hallucinations.
Applies the agent takeover flow as an instructor review flow - AI grades, instructor finalizes.
Records all learner and instructor activity - for grade appeals and audits.
Multilingual learning content and assessments simultaneously supported.
Learner PII encrypted with AES-256-GCM + physical silo isolation.
Every case is shown in full: Pain, AICLUDE Apply, Scenario, Impact, and Tech: without collapse.
We shape each PoC around your data, security requirements, and operating flow.