El Raed
AI learning assistant for personalized, instructor-guided education.
- 01Faster comprehension of complex topics through simpler explanations
- 02Instructors regain hours previously spent on repeat Q&A
- 03Higher engagement through personalized, always-available support
- Built for
- Education
- Type of work
- AI Agents & Assistants
- Platform
- AI
- Built with
- RAG · Agentic AI +4
Overview
El Raed is an AI-powered learning assistant that makes education more interactive, adaptive and personalized for both students and instructors. It combines Retrieval-Augmented Generation with agentic reasoning so learners get accurate, source-grounded answers while instructors keep control over what is taught.
The challenge · What we built
The challenge
Students need explanations that match their level, at their pace, at any hour. Instructors need to guide learning without answering the same question a hundred times, and without losing pedagogical control to a generic chatbot.
What we built
A RAG + agentic system trained on the instructor's own curriculum. It answers questions, simplifies difficult concepts, generates quizzes, and recommends what to study next — while respecting the boundaries and emphasis set by the instructor.
How it works
- 01Curriculum UploadInstructor uploads course material as the AI knowledge source
- 02Vector IndexingContent chunked, embedded, and indexed for semantic retrieval
- 03Student QuestionLearner asks any question in natural language at any hour
- 04RAG RetrievalRelevant passages retrieved exclusively from course material
- 05Cited AnswerLLM generates a grounded response with source citations
Inside the product
Learning Assistant Interface
Tap the screen to view it full size
What it can do
- Retrieval-Augmented answers grounded in course material
- Adaptive quizzes generated from student weak points
- Instructor console to steer topics and priorities
- Smart recommendations for what to review next
- Multi-turn agentic reasoning for complex questions
- Source citations for every answer
Built with
- RAG
- Agentic AI
- LLM Orchestration
- Vector Search
- Python
- Next.js
Let's build your next AI experience.
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