MMDocRAG/MMDocIR
The code used to train and run inference with MMDocIR
This project helps researchers and developers evaluate and train systems designed to retrieve specific information from long, complex documents containing text, images, tables, and other layouts. It provides a standardized way to measure how well these systems can find relevant pages or even individual elements like figures or paragraphs within a document. The target users are those developing or benchmarking multi-modal document retrieval solutions.
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Use this if you need a comprehensive benchmark to evaluate how accurately your system can pinpoint specific information (text, images, tables) within large, visually rich documents.
Not ideal if you're looking for an off-the-shelf document search solution for end-users, rather than a benchmark for developing retrieval systems.
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JavaScript
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Last pushed
May 29, 2025
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