This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.
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Updated
Jul 28, 2024 - Python
This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.
It automatically describes images in PDF files and generates questions from these descriptions. With its advanced RAG structure, it directs these questions directly to PDF text content, providing comprehensive information extraction and analysis.
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