In this article, Greg Low explains what chunking is, why it matters for embeddings, and how SQL Server 2025 enables efficient AI-powered vector search.
If you’ve started to work with vector databases and looked at using text embeddings for AI search, you might have come across the term chunking and wondered what it relates to. In this article, I’ll explain the concept in general – and then show how it works in SQL Server 2025.
What is chunking?
To generate text embeddings, you send a body of text to an AI language model that returns you a set of vectors.