AI-based features can make almost any software more powerful and productive, and modern tech stacks are evolving rapidly to make this simpler and more reliable. This doesn't just mean chatbots - in fact with semantic search, data extraction, summarization, translation, anomaly detection, and intelligent workflows, it's quickly becoming the baseline for modern software that feels satisfying to use and lets humans skip over the mundane parts of their work.

We’ll tour a range of intelligent app patterns, build a series of useful features using embeddings and large language models (LLMs), and even try out brand-new realtime AI systems. Through these examples, you’ll see what's coming next to .NET that will streamline and standardize the usage of language models, vector stores, and text embeddings.