Architecture & Analytics Dashboard for the Year 9 Kingsley curriculum AI integration. Powered by Retrieval-Augmented Generation (RAG).
Instead of expensive model fine-tuning, the plugin utilizes Retrieval-Augmented Generation. Uploaded JSON syllabus data is parsed and stored locally. When a student queries the system, relevant JSON blocks are retrieved and injected directly into the LLM prompt.
Proportional breakdown of the JSON curriculum data currently residing in the wp_cai_content table, categorized by primary subject area.
Tracking external API calls against localized Cache Hits. The get_transient caching mechanism successfully intercepts duplicate queries to preserve API quotas.
Aggregated assessment scores mapped from the wp_cai_progress database table. This identifies areas where the AI Tutor should generate more targeted mock paper questions.