Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production
This article introduces a microservice architecture for integrating Optical Character Recognition (OCR) and Large Language Models (LLM) into production Document AI pipelines. It highlights the importance of operationalizing Document AI for various applications.
This paper, titled "Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production," explores the integration of advanced AI techniques into document processing workflows. The authors, Yao Fehlis and 11 others, propose a microservice-based approach to efficiently manage and deploy Optical Character Recognition (OCR) and Large Language Models (LLM) in production environments.
The study emphasizes the practical application of Document AI, moving beyond theoretical concepts to address the challenges of real-world implementation. It focuses on creating robust and scalable solutions for automated document analysis and understanding.
The article was submitted to arXiv on May 12, 2026, and is available for access in PDF format. It falls under the categories of Computer Science (AI, LG, SE).
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