"HelloRAG is a versatile data processing tool designed for ingesting both human-generated and machine-generated data, specifically tailored for Large Language Model (LLM) applications. Leveraging advanced artificial intelligence, it automates the handling of diverse data complexities and modalities, ensuring accuracy and customization at scale. The core functionalities of HelloRAG encompass semantic-preserving extraction, annotation, and transformation of various data formats, including text, tables, audio, video, formulas, and figures, to facilitate effective downstream retrieval and generation tasks. This no-code platform simplifies labor-intensive processes into efficient, streamlined workflows, making it accessible for users without technical expertise. Integrating seamlessly with the open-source Richly Annotated Graph (RAG) framework, including components like LlamaIndex and LangChain, HelloRAG supports robust LLM applications. Its user-friendly interface enhances accessibility while providing full control and transparency over the data ingestion process. With a focus on security, HelloRAG efficiently handles and stores a variety of document types such as PDFs, PPTX/PPT, and DOCX/DOC. Additionally, it features AI-assisted parsing and annotation capabilities, making it a comprehensive solution for modern data management needs. "