Learners get stuck, and your team answers the same questions repeatedly. An AI tutor helps — but only if it answers from your course material, not the whole internet. That is what retrieval-augmented generation (RAG) is for.
Why not just a chatbot?
A raw LLM will confidently invent answers. RAG constrains it: before answering, it retrieves the relevant passages from your course content and answers from those. Accurate, on-topic, and traceable.
The practical stack
- Ingestion: your courses, PDFs and docs are chunked and embedded.
- Retrieval: a Postgres/pgvector store finds the most relevant passages.
- Generation: FastAPI + OpenAI answers from those passages, with guardrails.
Where it lives
The tutor sits inside your LMS or course site as a chat panel. We built and tested this pattern on Pragyanta; see the AI tutor demo.
Want an AI tutor on your courses? Read the AI Tutor service or add an AI tutor to your learning platform.
Sources & Further Reading:
Google Search Central Documentation ·
Moz SEO Blog ·
Search Engine Land
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