Compressing PDFs into Video for LLM Memory
Published:May 29, 2025 12:54
•1 min read
•Hacker News
Analysis
This article describes an innovative approach to storing and retrieving information for Retrieval-Augmented Generation (RAG) systems. The author cleverly uses video compression techniques (H.264/H.265) to encode PDF documents into a video file, significantly reducing storage space and RAM usage compared to traditional vector databases. The trade-off is a slightly slower search latency. The project's offline nature and lack of API dependencies are significant advantages.
Key Takeaways
Reference
“The author's core idea is to encode documents into video frames using QR codes, leveraging the compression capabilities of video codecs. The results show a significant reduction in RAM usage and storage size, with a minor impact on search latency.”