The tool uses a modular microservices design.
- Front-end: based on the Next.js framework to build a responsive interface to support PDF preview and labeling interaction
- AI engine: combination of Mistral (7B parametric model) for semantic understanding and Groq (LPU acceleration) for real-time reasoning
- Storage layer: MongoDB manages structured data, Cloudinary stores processed document versions
- Deployment solution: provide Docker image standardized deployment, while supporting Python virtual environment development mode
Performance optimization measures include.
- Document chunking: large files are automatically split and analyzed in parallel
- Caching mechanism: duplicate content directly calls the historical annotation results
- Hardware acceleration: supports NVIDIA CUDA and Groq tensor processors
Tests show that the average processing time for a 10-page technical document is 89 seconds (consumer GPU environment), and the annotation accuracy reaches 82.61 TP3T.
This answer comes from the articleSmartRead: Automatically annotate technical PDF documents and provide relevant citation sourcesThe
May not be reproduced without permission:AI productivity tools " SmartRead's Technical Architecture Supports Efficient Document Processing
