Merge pull request #2944 from laujan/373663-update-version-support

update version support

Author: prmerger-automator[bot]

articles/ai-services/document-intelligence/concept/retrieval-augmented-generation.md

@@ -119,7 +119,6 @@ If you're looking for a specific section in a document, you can use semantic chu
 
 ```python
 
-# Using SDK targeting 2024-11-30 (GA), make sure your resource is in one of these regions: East US, West US2, West Europe
 # pip install azure-ai-documentintelligence==1.0.0b1
 # pip install langchain langchain-community azure-ai-documentintelligence
 

articles/ai-services/document-intelligence/prebuilt/layout.md

@@ -610,7 +610,34 @@ Document Intelligence v2.1 supports the following tools, applications, and libra
 
 ## Input guidance
 
-[!INCLUDE [input requirements](./../includes/input-requirements.md)]
+Supported file formats:
+
+|Model | PDF |Image: </br>`JPEG/JPG`, `PNG`, `BMP`, `TIFF`, `HEIF` | Microsoft Office: </br> Word (`DOCX`), Excel (`XLSX`), PowerPoint (`PPTX`), HTML|
+|--------|:----:|:-----:|:---------------:|
+|Read            | ✔    | ✔    | ✔  |
+|Layout          | ✔  | ✔ |   |
+|General&nbsp;Document| ✔  | ✔ |   |
+|Prebuilt        |  ✔  | ✔ |   |
+|Custom extraction |  ✔  | ✔ |   |
+|Custom classification  |  ✔  | ✔ | ✔  |
+
+* For best results, provide one clear photo or high-quality scan per document.
+
+* For PDF and TIFF, up to 2,000 pages can be processed (with a free tier subscription, only the first two pages are processed).
+
+* The file size for analyzing documents is 500 MB for paid (S0) tier and `4` MB for free (F0) tier.
+
+* Image dimensions must be between 50 pixels x 50 pixels and 10,000 pixels x 10,000 pixels.
+
+* If your PDFs are password-locked, you must remove the lock before submission.
+
+* The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about `8` point text at 150 dots per inch (DPI).
+
+* For custom model training, the maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.
+
+  * For custom extraction model training, the total size of training data is 50 MB for template model and `1` GB for the neural model.
+
+  * For custom classification model training, the total size of training data is `1` GB  with a maximum of 10,000 pages. For 2024-11-30 (GA), the total size of training data is `2` GB with a maximum of 10,000 pages.
 
 :::moniker-end