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Content chunking is a technique for breaking down information into smaller, focused sections that make content more scannable, comprehensible, and actionable for both human readers and AI systems. And ...

When you need to hit a pitch shot that launches high and stops quickly, it's essential to learn how to use the bottom of your club - the bounce - properly. If your wedge digs into the turf, you may ...

Most vector search systems struggle with a basic problem: how to break complex documents into searchable pieces. The typical approach is to split text into fixed size chunks of 200 to 500 tokens, this ...

A valuable pedagogical process is the concept and application of explicit teaching, chunking, and sequence learning. According to Edwards-Groves (2012), explicit teaching can be thought of as the ...

What if the very method you rely on to simplify information is actually sabotaging your results? Imagine a Retrieval-Augmented Generation (RAG) system tasked with answering a critical question from a ...

In the paper “Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception”, I did not observe any mention of data reduction after ...

Jerrid Kruse receives funding from the National Science Foundation, the NASA Iowa Space Grant Consortium, and the William G. Stowe Foundation. During my years teaching science in middle school, high ...

What happens when your AI-powered retrieval system gives you incomplete or irrelevant answers? Imagine searching a compliance document for a specific regulation, only to receive fragmented or ...

Picture this: You’ve just crushed your drive right down the middle of the fairway. You’ve got a wedge or a short iron in your hands, and the pin is easily accessible right in the middle of the green.