added memory layer nb (#772)

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

Author: ajaykrish-uns

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="Adding a Memory Layer to RAG with Unstructured and Mem0" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/MemoryLayer_for_RAG.ipynb">
+     <br/>
+         Learn how to build a personalized RAG system using Unstructured's document processing and Mem0's memory layer to create an AI assistant that remembers user preferences and adapts responses across sessions.
+     <br/>
+       ``Unstructured API`` ``Workflows`` ``RAG`` ``S3`` ``Weaviate`` ``Memory``
+     <br/>
+   </Card>
    <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.