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arXiv · 2412.15262

Advanced ingestion process powered by LLM parsing for RAG system

Arnau Perez·Xavier Vizcaino
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Abstract

Retrieval Augmented Generation (RAG) systems struggle with processing multimodal documents of varying structural complexity. This paper introduces a novel multi-strategy parsing approach using LLM-powered OCR to extract content from diverse document types, including presentations and high text density files both scanned or not. The methodology employs a node-based extraction technique that creates relationships between different information types and generates context-aware metadata. By implementing a Multimodal Assembler Agent and a flexible embedding strategy, the system enhances document comprehension and retrieval capabilities. Experimental evaluations across multiple knowledge bases demonstrate the approach's effectiveness, showing improvements in answer relevancy and information faithfulness.

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Arnau Perez, Xavier Vizcaino. 2024-12-16. Advanced ingestion process powered by LLM parsing for RAG system. https://arxiv.org/abs/2412.15262

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