Agentic RAG notebook + missing tags (#419)

Author: MKhalusova

examplecode/notebooks.mdx

@@ -6,7 +6,13 @@ description: "Notebooks contain complete working sample code for end-to-end solu
 ---
 
 <CardGroup cols={2}>
-
+    <Card title="Agentic RAG with Hugging Face smolagents vs Vanilla RAG" href="https://colab.research.google.com/drive/1hG3dPgd8wjrO9wSD0K0Feo7EY1iXqrEN?usp=sharing">
+    <br/>
+       Build Agentic RAG with `smolagents` library and compare the results with Vanilla RAG in pure Python
+    <br/>
+       ``Unstructured Platform UI`` ``GPT-4o`` ``smolagents`` ``Agents`` ``DataStax`` ``S3`` ``Advanced notebook``
+    <br/>
+    </Card>
     <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
@@ -46,14 +52,14 @@ description: "Notebooks contain complete working sample code for end-to-end solu
     <br/>
        End-to-end data processing pipeline using Unstructured Serverless API.
        <br/>
-       ``Unstructured API`` 
+       ``Unstructured API`` ``Hugging Face`` ``Advanced notebook``
     <br/>
     </Card>
     <Card title="RAG with PDFs, LangChain and Llama 3" href="https://colab.research.google.com/drive/1BJYYyrPVe0_9EGyXqeNyzmVZDrCRZwsg?usp=sharing">
     <br/>
         A RAG system with the Llama 3 model from Hugging Face. 
     <br/>
-    ```Unstructured API```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3``` 
+    ```Unstructured API```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3``` ``Introductory notebook``
     </Card>
     <Card title="Unstructured data ETL from S3 to SingleStore DB" href="https://colab.research.google.com/drive/1Krvn5XlYNERQe7DNIXKEz3AmESJdABLF?usp=sharing">
     <br/>
@@ -93,26 +99,26 @@ description: "Notebooks contain complete working sample code for end-to-end solu
     <br/>
        Add document source references to RAG responses based on documents metadata.
     <br/>
-       ``Unstructured API`` ``RAG`` ``LangChain``
+       ``Unstructured API`` ``RAG`` ``LangChain`` ``Intermediate notebook``
     <br/>
     </Card>
     <Card title="Query processed PDF with HuggingChat" href="https://colab.research.google.com/drive/1rNVVX5qo7vyBwR7wTa-zS6lDMkKpTei0?usp=sharing">
     <br/>
         Send a PDF to Unstructured for processing, and send a subset of the returned PDF's processed text to [HuggingChat](https://huggingface.co/chat/) for chatbot-style querying.
     <br/>
-    ```Unstructured API```  ```🤗 Hugging Face``` ```🤗 HuggingChat```
+    ```Unstructured API```  ```🤗 Hugging Face``` ```🤗 HuggingChat``` ``Introductory notebook``
     </Card>
         <Card title="Llama 3 Local RAG with emails" href="https://colab.research.google.com/drive/1ieDJ4LoxARrHFqxXWif8Lv8e8aZTgmtH?usp=sharing">
     <br/>
        Build a local RAG app for your emails with Unstructured, LangChain and Ollama.
     <br/>
-    ```Unstructured API``` ```LangChain``` ```Ollama``` ```Llama 3```
+    ```Unstructured API``` ```LangChain``` ```Ollama``` ```Llama 3``` ``Introductory notebook``
     </Card>
     <Card title="Building RAG With PowerPoint presentations" href="https://colab.research.google.com/drive/1l_e7CyqfBUxBBDc6E6XIKtKV-8YWvmRX?usp=sharing">
     <br/>
         A RAG solution that is based on PowerPoint files.
     <br/>
-    ```Unstructured API```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3```
+    ```Unstructured API```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3``` ``Introductory notebook``
     </Card>
     <Card title="Synthetic test dataset generation" href="https://colab.research.google.com/drive/1VvOauC46xXeZrhh8nlTyv77yvoroMQjr?usp=sharing">
     <br/>