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MegaRAG proposes multimodal graphs for RAG

Published on December 25, 2025, the paper describes a method that automatically builds knowledge graphs from visual documents to support retrieval and cross-modal reasoning.

By Wendelmaques ·

Source: MegaRAG cria knowledge graphs multimodais para RAG (arxiv.org). Text prepared with AI from this source.

What happened and what to do

Published on December 25, 2025, the MegaRAG paper presents a graph-based RAG method that automatically builds knowledge graphs from visual documents. The approach aims to support cross-modal reasoning and address limits in holistic understanding of long-form content.

A company that works with visual documents can assess this approach in an information retrieval and query workflow. A project could diagnose data sources and needs, structure ingestion and relation extraction, and implement monitoring and evaluation to test the results in company processes.

How the consultancy can help

Wendelmaques can diagnose the opportunity and document sources, define an implementation scope for ingestion, graphs, and retrieval, and support operation and monitoring on the company’s infrastructure.

Next step

Send a short description of your documents and the process you want to improve to receive a scoped proposal.

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