Doing your homework with Neo4j & AI

Neo4j’s Document Intelligence can be adapted from its intended GraphRAG and document-analysis use cases to create an AI-supported homework quiz system from text-based PDF study materials. Using a free Aura instance, users define a simple graph model containing Question and Answer nodes, import a document to generate question-and-answer pairs linked to source chunks, and remove pairs that do not contain exactly one answer. A free Aura Agents approach can then randomly retrieve questions, compare student responses with graph-provided textbook answers and context, and assign correctness and quality scores, although it cannot retain progress or prevent repeated questions. For more control, a small Java application and Cypher queries can track already asked questions, use an external LLM API such as OpenAI to evaluate answers on a 0–3 scale, provide explanations and correct answers, and calculate an overall result. The demonstration uses material on the 1657–1658 Swedish-Danish war and illustrates both the potential of structured graphs for tutoring and practical limitations such as single-user state tracking, API costs, and the need to respect copyright when uploading documents.

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