HelloRAG is a multi-modal data processing tool tailored for Large Language Model (LLM) applications. It streamlines the ingestion of human and machine-generated data through AI-driven automation and scalable human intelligence. The tool excels in semantic-preserving extraction, annotation, and transformation of various data types including texts, tables, audios, videos, formulas, and figures. HelloRAG simplifies labor-intensive tasks with its no-code platform and integrates seamlessly with the Richly Annotated Graph (RAG) framework, enhancing your LLM applications.

HelloRAG offers a user-friendly interface, ensuring accessibility for non-technical users. It guarantees full control and transparency in the data ingestion process, with secure data handling and support for various document types. While it provides efficient multi-modal data processing and streamlined workflows, it may require technical support for errors and lacks versatility in some areas.