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Mastering Chunking for RAG: The Key to Smarter AI Responses

Miracle´s CEO and Oracle ACE Director @Heli Helskyaho offers a comprehensive and practical overview of chunking techniques—a critical component in Retrieval-Augmented Generation (RAG) systems. By breaking down documents into strategically designed chunks, you can dramatically improve the accuracy, relevance, and efficiency of AI-driven responses. From simple fixed-size splitting to advanced semantic and agentic methods, this guide helps you understand when and how to apply each approach for optimal results. Whether you’re building a chatbot, a document assistant, or an enterprise search solution, this resource is essential for creating high-quality, context-aware AI applications.