Ragie

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Ragie is a fully managed RAG-as-a-Service platform designed for developers to streamline the ingestion, chunking, and multimodal indexing of structured and unstructured data. It offers simple APIs and SDKs, seamless integration with popular data sources like Google Drive, Notion, and Confluence, and built-in advanced features like summary indexing, chunk reranking, flexible vector filtering, and hybrid semantic and keyword search. Ragie helps applications deliver state-of-the-art generative AI by handling everything from video and audio to text, images, PDFs, and PowerPoint presentations. The platform automatically chunks and embeds data into vectors using the latest multilingual LLMs, storing them in a scalable vector database. Ragie builds vector, summary, and keyword indexes to optimize retrieval, ensuring fast, accurate, and context-rich results. It supports multimodal RAG, including audio and video, with features like multilingual transcription, smart chunking, visual parsing, and timestamped, streamable results. Ragie is ideal for developers building AI applications that leverage their own data, offering a streamlined developer experience and robust security with bank-grade encryption and certifications like SOC2 Type I and CASA.