Show HN: Ragctl – document ingestion CLI for RAG (OCR, chunking, Qdrant) (github.com)

Ragctl has been launched as a command-line interface (CLI) tool designed for document processing within Retrieval-Augmented Generation (RAG) applications. This production-ready tool streamlines the ingestion of various document types—including PDF, DOCX, and images—by employing advanced Optical Character Recognition (OCR) and intelligent chunking. Key features include support for multiple file formats, automatic document quality detection, and export options like JSON and CSV, which facilitate efficient data handling and integration into RAG systems, particularly with Qdrant vector stores. The significance of Ragctl lies in its comprehensive capabilities that simplify the document processing pipeline for AI developers. By automating chunking processes based on semantic meaning, users can leverage tools like LangChain for improved contextual accuracy. Additionally, the tool supports multi-language documents and offers robust error handling and retry mechanisms, which are crucial for production environments. Overall, Ragctl enhances the efficiency and reliability of document ingestion in RAG applications, providing the AI/ML community with a powerful tool that combines flexibility with advanced functionalities tailored for diverse document processing needs.