Summary
In this module, you explored the language features introduced in SQL Server 2025 and how they improve day‑to‑day development and analytics.
In this module, you learned about the following areas:
- Vector and AI integration: You saw how to register external models, generate embeddings, store vectors, index them, and search by similarity.
- Pattern matching and text extraction: You worked with the REGEXP family of functions and the enhanced
SUBSTRINGfunction to locate, extract, count, and split text. - JSON and string aggregation: You created JSON arrays and objects and produced delimited strings directly from queries, with support for the
||concatenation operator andUNISTR. - Encoding and similarity functions: You encoded and decoded strings in Base64 and compared text with multiple similarity and distance measures.
- Date and numeric enhancements: You used
CURRENT_DATE, extendedDATEADD, and thePRODUCT()aggregate to simplify calculations and forecasting.
Learn more
Use the following resource to learn more about SQL Server 2025: