From PDF to Q&A: Building the RAG Pipeline Behind LongTerMemory

📰 Medium · RAG

Learn how to build a RAG pipeline to convert PDFs into Q&A pairs using spaced repetition, a crucial skill for AI and education applications

advanced Published 13 Apr 2026

Action Steps

Upload a PDF file to a cloud storage service like AWS S3
Preprocess the PDF using OCR tools like Tesseract to extract text
Apply named entity recognition and part-of-speech tagging using spaCy to identify key concepts
Use a question generation model like BERT to create Q&A pairs from the extracted text
Implement a spaced repetition algorithm to optimize the Q&A pairs for better learning outcomes

Who Needs to Know This

NLP engineers and AI researchers can benefit from this pipeline to create interactive learning materials, while product managers can utilize it to enhance user engagement

Key Insight

💡 Building a RAG pipeline can automate the process of creating interactive learning materials from unstructured text data