Azure Functions are already known for their simplicity—letting you build event-driven solutions faster with triggers, input, and output bindings. Now, with the introduction of AI bindings, you can bring the same developer productivity to AI-powered workloads.

In this session, we’ll explore how the new AI bindings transform the way you integrate AI into your applications:

TextCompletionInput – Start your function with a completion model’s response instead of boilerplate API calls.

EmbeddingsInput – Generate embedding vectors on the fly for search, clustering, and recommendations.

SemanticSearchInput – Build Retrieval Augmented Generation (RAG) scenarios with just one binding.

You’ll see live demos of how these bindings cut down code, simplify integration, and make AI feel like a natural extension of serverless development. By the end, you’ll be ready to build intelligent, cloud-native applications faster than ever.