Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".

This repository contains the official implementation of the paper titled "Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural Network", which was presented in the 18th International Conference on Document Analysis and Recognition (ICDAR 2024).

This Document Analysis pipeline is a comprehensive document analysis system, designed to automate the processing and analysis of documents from acquisition to consumption. It integrates advanced machine learning & AI models like RAG (Retrieval Augmented Generation) & Mistral LLM to efficiently extract, match, enrich, process document