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AutoRAG Data Creation is a tool designed to create, chunk, and generate high-quality Question & Answer (QA) datasets from PDF files. It is specifically developed to be 100% compatible with AutoRAG, a framework used for training and evaluating Retrieval-Augmented Generation (RAG) models. This tool simplifies the process of preparing datasets for RAG evaluations, ensuring compatibility and efficiency.
• Generate QA datasets from PDF files: Easily convert PDF content into structured Question & Answer pairs.
• Advanced text chunking: Automatically split PDF text into meaningful chunks for better QA pair generation.
• 100% compatibility with AutoRAG: Seamlessly integrate your datasets with the AutoRAG framework for RAG evaluations.
• Streamlined data preparation: Simplify the process of creating evaluation datasets with minimal effort.
What is the primary purpose of AutoRAG Data Creation?
The primary purpose is to simplify the creation of Question & Answer datasets from PDF files, making it easier to evaluate and train RAG models.
Is AutoRAG Data Creation compatible with all RAG models?
AutoRAG Data Creation is specifically designed to be 100% compatible with the AutoRAG framework, ensuring seamless integration for RAG evaluations.
Can I customize how the text is chunked in AutoRAG Data Creation?
Yes, the tool provides advanced text chunking options, allowing you to customize how the PDF content is divided into manageable sections for QA pair generation.