Document Information Extraction and Mapping at Scale for Learnboost
Built a Contextual RAG system that turns dense, 300+ page study documents into structured, trustworthy knowledge — in 30 seconds.
Overview
Learnboost is an online study platform that helps students automatically turn their lecture notes, slides, and documents into summaries, flashcards, interactive explanations, and other learning tools. DataMax built a Contextual RAG system capable of ingesting very large documents and transforming them into structured, searchable, and trustworthy knowledge assets.
Challenge
Study documents — textbooks, lecture notes, reference books, exam prep materials — can span hundreds of pages, making it time-consuming for students to locate relevant topics. As Learnboost's user base grew, so did the complexity and size of documents customers wanted to process. Many exceeded 300–400 pages, creating three key problems: infeasibility for manual review, lack of provenance, and poor document visibility.
Approach
We processed documents holistically, extracting text and images while preserving page-level and section-level context, and used asynchronous processing so large files could be handled without blocking users.
Solution
DataMax designed and deployed a production-grade Contextual RAG platform on AWS that transforms long documents into structured, searchable knowledge. The system intelligently extracts text and images while preserving contextual structure, automatically produces chapter and section mappings, and tracks precise provenance so users can verify exactly where each insight originates. Documents are processed asynchronously via SQS, allowing the platform to handle large files and high volumes at scale without performance degradation.
Results
"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, LearnboostReady to accelerate your AI journey?
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