Update notebooks.mdx with some recent notebooks (#405)

examplecode/notebooks.mdx

@@ -7,6 +7,27 @@ description: "Notebooks contain complete working sample code for end-to-end solu
 
 <CardGroup cols={2}>
 
+    <Card title="LLama3.2 RAG evaluation on unstructured text" href="https://colab.research.google.com/drive/14y3QOmhetk6NvJfT3HO4Tw6-Ra-LIDA9?usp=sharing">
+    <br/>
+       Evaluate Llama3.2 for your RAG system with Unstructured Platform, GPT-4o, Ragas, and LangChain
+    <br/>
+       ``Unstructured Platform`` ``GPT-4o`` ``Ragas`` ``LangChain`` ``Llama3.2`` ``Pinecone`` ``S3``
+    <br/>
+    </Card>
+    <Card title="Multimodal RAG: Enhancing RAG outputs with image results" href="https://colab.research.google.com/drive/1gBI67HKyepmpAzf0T5yWwBwIqVXK1Ea_?usp=sharing">
+    <br/>
+       Process a file in S3 with Unstructured Platform and return images in your RAG output
+    <br/>
+       ``Unstructured Platform`` ``S3`` ``FAISS`` ``GPT-4o-mini`` 
+    <br/>
+    </Card>
+     <Card title="Quantitative Reasoning with tables inside PDFs" href="https://app.hex.tech/5e6b6e24-dead-4d3b-b9da-a9a7ad587b96/hex/cb595d8a-6eac-4e19-96ed-b1540e5c031c/draft/logic">
+    <br/>
+       From Pixels to Insights: Seamlessly Extracting and Visualizing Table Data with Unstructured and Hex
+    <br/>
+       ``Unstructured API`` ``Hex`` 
+    <br/>
+    </Card>
     <Card title="PII removal with GLiNER in unstructured data ETL" href="https://colab.research.google.com/drive/1HwOMnGjrNbcHZ1vlhaAG0MSDBcwQfexF?usp=sharing">
     <br/>
        Remove Personally Identifiable Information (PII) as a part of unstructured data preprocessing.
@@ -100,13 +121,7 @@ description: "Notebooks contain complete working sample code for end-to-end solu
        ``Unstructured`` ``GPT-4o`` ``Ragas`` ``LangChain``
     <br/>
     </Card>
-    <Card title="LLama3.1 RAG evaluation on unstructured text" href="https://colab.research.google.com/drive/1VeK-z8499WV_7wY4JAkWmxpxR2LiR2-m?usp=sharing">
-    <br/>
-       Build a Synthetic Test Dataset for your RAG system in 5 easy steps
-    <br/>
-       ``Unstructured`` ``GPT-4o`` ``Ragas`` ``LangChain`` ``Llama3.1``
-    <br/>
-    </Card>
+
 </CardGroup>