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Learn about features that can help your organization comply with the Americans with Disabilities Act (ADA) including an overview on recording physical requirements.
Learn more about Direct from Azure models. # Key capabilities ## About this model text-embedding-ada-002 outperforms all the earlier embedding models on text search, code search, and sentence similarity tasks and gets comparable performance on text classification.
A Microsoft Foundry or Azure OpenAI resource with the text-embedding-ada-002 (Version 2) model deployed. This model is currently only available in certain regions.
Consider pretrained models, such as text-embedding-ada-002 from OpenAI or the Image Retrieval REST API from Azure Vision in Foundry Tools. Normalize vector lengths. To improve the accuracy and performance of similarity search, normalize vector lengths before you store them in a search index. Most pretrained models are already normalized.
Hi I'm starting to use Azure OpenAI embeddings text-embedding-ada-002 model, but it seems to have a limit of ***2048 ***tokens, while OpenAI says it should be 8192. Thanks! Simon
Microsoft has formally announced that text‑embedding‑ada‑002 is deprecated in Azure OpenAI, with a published retirement timeline (October 3 2025) and rolling enforcement before that date depending on region.
OpenAI and Azure OpenAI currently support input arrays up to 2,048 input items for text-embedding-ada-002. Both require the max input token limit per API request to remain under 8,191 for this model.