As you adopt AI practices, one of the more challenging aspects of getting data AI-ready is “chunking.” Chunking is, as the name suggests, breaking down large blocks of text into smaller segments. Each chunk is then vectorized, stored, and indexed. Any type of data can be chunked: text documents, images, sound files. For clarity, we’ll stick to text chunking, but the theory and process is the same for any type of data. Chunking is a necessary step in vectorizing data for many reasons.