2024-02-09: Integrated vectorization

This release includes a big new optional feature, Azure AI Search integrated vectorization, which automates the data ingestion entirely in the cloud, using indexers, skillsets, and embedding models. To try it out, follow the steps here:
https://github.com/Azure-Samples/azure-search-openai-demo?tab=readme-ov-file#enabling-integrated-vectorization

Learn more in the ingestion guide:
https://github.com/Azure-Samples/azure-search-openai-demo/blob/main/docs/data_ingestion.md#overview-of-integrated-vectorization

Please file any issues you encounter if you try out this new feature. It's in preview mode now, so the team is eager for feedback.

What's Changed

• Improvements to token counting for images and type annotations by @pamelafox in #1244
• Add integrated vectorizer support by @srbalakr in #1159
• Only output identity for non-free SKU by @pamelafox in #1258
• Add document describing the HTTP chat protocol by @pamelafox in #1193
• Better conditional around searchservice principalId output by @pamelafox in #1260

Full Changelog: 2024-02-06...2024-02-09