notebook added (#759)

Co-authored-by: ajay23-uns <[email protected]>

Author: ajaykrish-uns

examplecode/notebooks.mdx

@@ -6,6 +6,13 @@ description: "Notebooks contain complete working sample code for end-to-end solu
 ---
 
 <CardGroup cols={2}>
+   <Card title="Everything (from) Everywhere All at Once" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/RAG_From_Multiple_Data_Sources_FileTypes.ipynb">
+    <br/>
+       Set up an AI assistant that answers questions by querying your company's scattered data. Retrieve context from contracts in Azure, sales decks in OneDrive, and emails in Outlook through a single RAG pipeline.
+    <br/>
+       ``Unstructured API`` ``Workflows`` ``RAG`` ``Azure Blob Storage`` ``Outlook`` ``OneDrive`` ``AstraDB``
+    <br/>
+    </Card>
     <Card title="Agentic RAG with Visually Grounded Answers and Visual Citations" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/Agentic-RAG-with-Visually-Grounded-Answers-and-Visual-Citations.ipynb">
     <br/>
        Learn how to build an AI-powered document processing system that extracts both text and images from PDFs in S3, generates intelligent descriptions for visual elements, and enables a searchable knowledge base that can answer questions about charts, diagrams, and product visuals.