Update notebooks.mdx (#414)

Author: ninalopatina

examplecode/notebooks.mdx

@@ -11,114 +11,114 @@ description: "Notebooks contain complete working sample code for end-to-end solu
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        Evaluate Llama3.2 for your RAG system with Unstructured Platform, GPT-4o, Ragas, and LangChain
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-       ``Unstructured Platform`` ``GPT-4o`` ``Ragas`` ``LangChain`` ``Llama3.2`` ``Pinecone`` ``S3``
+       ``Unstructured Platform UI`` ``GPT-4o`` ``Ragas`` ``LangChain`` ``Llama3.2`` ``Pinecone`` ``S3`` ``Advanced notebook`` 
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     </Card>
     <Card title="Multimodal RAG: Enhancing RAG outputs with image results" href="https://colab.research.google.com/drive/1gBI67HKyepmpAzf0T5yWwBwIqVXK1Ea_?usp=sharing">
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        Process a file in S3 with Unstructured Platform and return images in your RAG output
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-       ``Unstructured Platform`` ``S3`` ``FAISS`` ``GPT-4o-mini`` 
+       ``Unstructured Platform UI`` ``S3`` ``FAISS`` ``GPT-4o-mini`` ``Advanced notebook``
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     </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">
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        From Pixels to Insights: Seamlessly Extracting and Visualizing Table Data with Unstructured and Hex
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-       ``Unstructured API`` ``Hex`` 
+       ``Unstructured API`` ``Hex`` ``Advanced notebook``
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     </Card>
     <Card title="PII removal with GLiNER in unstructured data ETL" href="https://colab.research.google.com/drive/1HwOMnGjrNbcHZ1vlhaAG0MSDBcwQfexF?usp=sharing">
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        Remove Personally Identifiable Information (PII) as a part of unstructured data preprocessing.
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-       ``Unstructured`` ``Advanced`` ``PII`` ``GLiNER``
+       ``Unstructured API``  ``PII`` ``GLiNER`` ``Advanced notebook``
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     </Card>
     <Card title="Custom metadata extraction and self-querying retrieval" href="https://colab.research.google.com/drive/1v2SKPEmCr0p2AFyckrYvC3heYKyKff_t?usp=sharing">
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        Extract custom metadata, and enable metadata pre-filtering in your RAG.
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-       ``Unstructured`` ``MongoDB`` ``Advanced`` ``Metadata``
+       ``Unstructured API`` ``MongoDB``  ``Metadata`` ``Advanced notebook``
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     </Card>
     <Card title="Selecting an embedding model for custom data" href="https://colab.research.google.com/drive/132oXSGSOyzZ7GO9pJhRKlvwY4F-i9Pm6?usp=sharing">
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        End-to-end data processing pipeline using Unstructured Serverless API.
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-       ``Unstructured``
+       ``Unstructured API`` 
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     </Card>
     <Card title="RAG with PDFs, LangChain and Llama 3" href="https://colab.research.google.com/drive/1BJYYyrPVe0_9EGyXqeNyzmVZDrCRZwsg?usp=sharing">
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         A RAG system with the Llama 3 model from Hugging Face. 
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-    ```Unstructured```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3``` 
+    ```Unstructured API```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3``` 
     </Card>
     <Card title="Unstructured data ETL from S3 to SingleStore DB" href="https://colab.research.google.com/drive/1Krvn5XlYNERQe7DNIXKEz3AmESJdABLF?usp=sharing">
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         Learn to ingest, partition, chunk, embed and load data from an S3 bucket into SingleStore DB.
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-    ```Unstructured```  ```SingleStoreDB``` ```AWS S3```
+    ```Unstructured API```  ```SingleStoreDB``` ```AWS S3``` ``Introductory notebook``
     </Card>
     <Card title="Google Drive to DataStax Astra DB" href="https://colab.research.google.com/drive/1Img_qGCTKavImbz7dlRtxg8mNUjiWjJT?usp=sharing">
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        Embed your Google Drive Docs in an Astra Vector Database with Unstructured Serverless API
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-       ``Unstructured`` ``Google`` ``DataStax`` 
+       ``Unstructured API`` ``Google`` ``DataStax`` ``Introductory notebook``
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     </Card>
     <Card title="Weaviate RAG quickstart" href="https://colab.research.google.com/drive/1lYejikVtbPraWvh9CtxBazJuXKuJ38wu?usp=sharing">
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        Embed your local documents in an Weaviate Vector Database with Unstructured Serverless API 
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-       ``Unstructured`` ``OpenAI`` ``Weaviate`` 
+       ``Unstructured API`` ``OpenAI`` ``Weaviate`` ``Introductory notebook``
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     </Card>
     <Card title="Preprocess PDFs in AWS S3, load into Elasticsearch" href="https://colab.research.google.com/drive/1axADo7T_dMkeOWnZ5C4dKve16-wrtQuV?usp=sharing">
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        Ingest PDF documents from an S3 bucket, transform them into a normalized JSON with Unstructured Serverless API, chunk, embed and load into Elasticsearch.
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-       ``Unstructured`` ``AWS S3`` ``Elasticsearch``
+       ``Unstructured API`` ``AWS S3`` ``Elasticsearch`` ``Introductory notebook``
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     </Card>
     <Card title="Preprocess documents in Google Drive, load into Databricks Volume" href="https://colab.research.google.com/drive/1gVd03geFUD_OTROMuhjVAHYQvgVbViq7?usp=sharing">
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        Preprocess documents from a Google Drive Unstructured Serverless API and load them into Databricks Volume.
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-       ``Unstructured`` ``Google Drive`` ``Databricks``
+       ``Unstructured API`` ``Google Drive`` ``Databricks`` ``Introductory notebook``
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     </Card>
     <Card title="Source references in RAG responses" href="https://colab.research.google.com/drive/1Lc8eq8P87JjzUhbYb33_c7h7njsWb-hn?usp=sharing">
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        Add document source references to RAG responses based on documents metadata.
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-       ``Unstructured`` ``RAG`` ``LangChain``
+       ``Unstructured API`` ``RAG`` ``LangChain``
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     </Card>
     <Card title="Query processed PDF with HuggingChat" href="https://colab.research.google.com/drive/1rNVVX5qo7vyBwR7wTa-zS6lDMkKpTei0?usp=sharing">
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         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.
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-    ```Unstructured```  ```🤗 Hugging Face``` ```🤗 HuggingChat```
+    ```Unstructured API```  ```🤗 Hugging Face``` ```🤗 HuggingChat```
     </Card>
         <Card title="Llama 3 Local RAG with emails" href="https://colab.research.google.com/drive/1ieDJ4LoxARrHFqxXWif8Lv8e8aZTgmtH?usp=sharing">
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        Build a local RAG app for your emails with Unstructured, LangChain and Ollama.
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-    ```Unstructured``` ```LangChain``` ```Ollama``` ```Llama 3```
+    ```Unstructured API``` ```LangChain``` ```Ollama``` ```Llama 3```
     </Card>
     <Card title="Building RAG With PowerPoint presentations" href="https://colab.research.google.com/drive/1l_e7CyqfBUxBBDc6E6XIKtKV-8YWvmRX?usp=sharing">
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         A RAG solution that is based on PowerPoint files.
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-    ```Unstructured```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3```
+    ```Unstructured API```  ```🤗 Hugging Face``` ```LangChain``` ```Llama 3```
     </Card>
     <Card title="Synthetic test dataset generation" href="https://colab.research.google.com/drive/1VvOauC46xXeZrhh8nlTyv77yvoroMQjr?usp=sharing">
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        Build a Synthetic Test Dataset for your RAG system in 5 easy steps
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-       ``Unstructured`` ``GPT-4o`` ``Ragas`` ``LangChain``
+       ``Unstructured API`` ``GPT-4o`` ``Ragas`` ``LangChain`` ``Advanced notebook``
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     </Card>