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From PDF to RAG-Ready: Evaluating Document Conversion Frameworks for Domain-Specific Question Answering

Retrieval-Augmented Generation (RAG) systems depend critically on the quality of document preprocessing, yet no prior study has evaluated PDF processing frameworks by their impact on downstream question-answering accuracy. We address this gap through a systematic comparison of four open-source PDF-t...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: José Guilherme Marques dos Santos, Ricardo Yang, Rui Humberto Pereira, Alexandre Sousa, Brígida Mónica Faria, Henrique Lopes-Cardoso, José Duarte, José Luís Reis, Luís Paulo Reis, Pedro Pimenta, José Paulo Marques dos Santos
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-05-01
Schriftenreihe:Applied Sciences
Schlagworte:
Retrieval-Augmented Generation
RAG
PDF conversion
document preprocessing
data quality
chunking strategy
Online-Zugang:https://www.mdpi.com/2076-3417/16/10/5069
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