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AI Tutor & RAG Learning Assistant

Answers grounded in your own course content

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AI Tutor & RAG Learning Assistant — SADigisoft
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What we build into your AI tutor

AI Tutor & RAG Learning Assistant

Learners ask the same questions over and over, usually after hours when no one is available to answer. An AI tutor gives them reliable, instant answers drawn from your own course material — so they stay unblocked and your team stops repeating itself.

What we build

  • A retrieval-augmented (RAG) assistant grounded in your courses, documents and slides.
  • Answers that stay within your material rather than guessing.
  • A chat experience embedded in your LMS or course site.
  • Controls over scope, tone and the content the tutor is allowed to use.
  • A practical stack — FastAPI, OpenAI and a Postgres/pgvector knowledge base.

This helps coaching institutes and course creators support large cohorts without scaling support staff, and helps corporate training teams answer policy and compliance questions consistently. Because the tutor only draws on the content you give it, answers stay on-message.

We have built and tested these flows on Pragyanta, our in-house learning platform, so this is a demonstrated capability rather than a slide. An AI tutor works best as part of a full custom LMS, and pairs well with a quiz and assessment platform so learners can check understanding straight after asking.

We work within your licensed or open-source learning environment and keep your content yours. How we work: we start with a contained pilot on one course, watch how learners use it, then expand the scope and the content it can draw on.

Want to add an AI tutor to your learning platform? Book a free consultation and we will scope a demo against your own content.

How We Deliver

01

Discovery

We map your goals, audience, learner journeys, and technical requirements before writing a single line of code.

02

Solution Design

We define course flow, learner roles, content structure, reporting requirements, and platform boundaries before build work accelerates.

03

Development

Sprint-based build with progress updates, code reviews, and continuous testing.

04

Launch & Improve

Go-live support, reporting, operational handover, and iteration once real learners begin using the system.

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Need help shaping this service into a real LMS plan?

Connect with us to discuss scope, learner journeys, migration needs, integrations, and the right delivery path for your training use case.

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