Document Information Extraction and Mapping at Scale for Learnboost
Learnboost offers an online study platform that helps students automatically turn their own lecture notes, slides and documents into summaries, flashcards, interactive explanations, podcasts and other learning tools to study more efficiently and improve grades. Learnboost is suitable for students who want to learn faster and more efficiently. The tool is for those who want to save time and get better results in the same amount of time. The web app is equally suitable for all learners with every level of motivation.
DataMax built a Contextual Retrieval-Augmented Generation (RAG) system capable of ingesting very large documents and transforming them into structured, searchable, and trustworthy knowledge assets.
Technologies: AWS, Amazon Bedrock, PostgreSQL with pgvector, SQS, ALB
Challenge
Study documents are often long, dense, and difficult to navigate. Textbooks, lecture notes, reference books, and exam preparation materials can span hundreds of pages, making it time-consuming for students to locate relevant topics or understand how the content is structured. As it's user base grew, so did the complexity and the size of the documents customers wanted to process. Many documents exceeded 300–400 pages, creating several key problems including: unfeasibility for manual reviews, lack of provenance and poor document visibility.
Solution
DataMax designed and deployed a production-grade Contextual RAG platform that transforms long documents into structured, searchable knowledge.
The solution intelligently processes documents holistically: text and images are extracted while preserving page-level and section-level context.
The system, leveraging AI, automatically produces structured document mapping.
Documents are processed asynchronously, allowing the system to handle large files and high volumes without blocking users or degrading performance.
Result
The system delivered immediate and measurable value:
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Faster information access: Users can locate relevant content in seconds instead of manually scanning hundreds of pages. Document processing time went from hours to 30 seconds.
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Clear document understanding: Structured chapter and section mappings dramatically improve comprehension and navigation.
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Improved trust and auditability: Precise provenance tracking lets users verify exactly where each insight comes from.
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Scalability for growth: The asynchronous, cloud-native design supports increased document volume without operational strain.
Testimonial
As Learnboost reflects on the partnership, the results speak for themselves:
​​"Learnboost is used every day by many thousands of students who face the challenge of finding orientation in hundreds of pages of study materials, understanding content faster, and preparing optimally for their next exam.
With the new capabilities we were able to implement together with DataMax and AWS, students finally get a solution that automatically structures their learning materials - both visually and text-based - and presents them in a much clearer, better-prepared way. Clear, directly citable references back to the original source ensure maximum traceability and trust. This saves time, improves understanding, and ultimately leads to better learning outcomes.
A big thank you to DataMax and AWS for the outstanding collaboration and execution!"
— Leo Oxenfart, CEO Learnboost