Update notebooks.mdx (#766)

Author: vannestn

examplecode/notebooks.mdx

@@ -5,6 +5,13 @@ mode: wide
 description: "Notebooks contain complete working sample code for end-to-end solutions."
 ---
 <CardGroup cols={2}>
+   <Card title="Agentic Weekly AI News TL;DR" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/Agentic-Weekly-AI-News-TLDR.ipynb">
+     <br/>
+       Build an automated pipeline that scrapes the last 7 days of AI papers & posts (ArXiv, OpenAI, Anthropic, Hugging Face, DeepLearning.AI), processes them with Unstructured’s Hi Res partitioner for clean text, stores structured chunks in MongoDB, and generates both detailed summaries and an executive brief for a weekly newsletter.
+     <br/>
+       ``Unstructured API`` ``Workflows`` ``hi_res`` ``Scraping`` ``ArXiv`` ``OpenAI`` ``Anthropic`` ``Hugging Face`` ``DeepLearning.AI`` ``S3`` ``MongoDB`` ``Summarization``
+     <br/>
+   </Card>
    <Card title="Graph RAG for Academic Papers" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/GraphRAG_for_Academic_Papers.ipynb">
     <br/>
       Learn how to build a GraphRAG system for research papers using Unstructured's Named Entity Recognition to extract custom entities and relationships, then query them with Neo4j to answer complex questions that require understanding connections between models, datasets, and metrics.