The Hidden Pitfalls of Naive Chunking in RAG Applications: Splitting Paragraphs and Losing ContextIn the rapidly evolving field of Retrieval-Augmented Generation (RAG), effectively processing complex documents like PDFs and Office files…Nov 5, 2024Nov 5, 2024
Solving the LLM Garbage In, Garbage Out Problem in RAG ApplicationsIn the world of Retrieval-Augmented Generation (RAG) applications, the quality of the input data directly impacts the quality of the…Jun 19, 2024Jun 19, 2024
RAG: The Power of Negative Space for LLMIn the world of content the concept of negative space, also known as white space, plays a crucial role in enhancing readability and user…May 8, 2024May 8, 2024
The Evolution of Text Layout: From Ancient Times to Large Language ModelsThe way we present written text has undergone a remarkable evolution throughout history. From ancient clay tablets to modern digital…Apr 4, 2024Apr 4, 2024
RAG and LLM: Why Human-Like File Chunking MattersUnlocking the Power of Unstructured Files for RAG and LLM: how to tackle this industry problem providing real-world-ready chunking…Mar 19, 2024Mar 19, 2024
