Ragie has announced significant platform enhancements aimed at improving the speed, intelligence, and versatility of their multimodal RAG pipelines, expanding the possibilities for enterprise applications globally. Key upgrades include support for right-to-left (RTL) languages in multimodal PDF extraction, which now encompasses Hebrew, Arabic, Hindi, and Urdu, allowing for innovative uses such as an Arabic educational AI platform capable of extracting complex scientific coursework. Enhanced multilingual support ensures all post-extraction enhancements are generated in the original document language, improving accuracy and user experience in global applications. The re-architected PDF processing pipeline now offers faster, real-time ingestion of large enterprise data sources, supporting low-latency, production-grade RAG systems. Additionally, Ragie has removed document size limits, allowing the seamless processing of high-resolution multimodal PDFs of any size, which is beneficial for enterprises dealing with extensive technical manuals or compliance reports. These advancements position Ragie as a leading RAG-as-a-Service platform, with further developments to be announced during Ragie Launch Week.