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Notebooks page reorganized (#242)
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examplecode/notebooks.mdx

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@@ -21,57 +21,18 @@ description: "Notebooks contain complete working sample code for end to end solu
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``Unstructured``
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</Card>
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<Card title="Simple PDF and HTML parsing" href="https://colab.research.google.com/drive/1U8VCjY2-x8c6y5TYMbSFtQGlQVFHCVIW#scrollTo=jZp37lfueaeZ">
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Quickstart guide for parsing simple PDF and HTML documents with Unstructured.
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``Unstructured``
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</Card>
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<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```
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</Card>
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<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```
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</Card>
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<Card title="Building RAG With PowerPoint presentations" href="https://colab.research.google.com/drive/1NmLSmUMb9ozlELnWa3J4WwdrBfGomwPk?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```
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</Card>
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<Card title="Unstructured data ETL from S3 to SingleStore DB" href="https://drive.google.com/file/d/1Krvn5XlYNERQe7DNIXKEz3AmESJdABLF/view?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```
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</Card>
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<Card title="LLM chatbot with Databricks" href="https://notebooks.databricks.com/demos/llm-rag-chatbot/index.html#">
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A Chatbot on Databricks with RAG, DBRX Instruct & Vector Search
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```Unstructured``` ```Databricks``` ```LangChain```
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</Card>
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<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``
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</Card>
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<Card title="LLama3.1 RAG evaluation on unstructured text" href="https://colab.research.google.com/drive/1VeK-z8499WV_7wY4JAkWmxpxR2LiR2-m?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`` ``Llama3.1``
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</Card>
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<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
@@ -112,6 +73,32 @@ description: "Notebooks contain complete working sample code for end to end solu
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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```
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</Card>
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<Card title="Llama 3 Local RAG with emails" href="https://colab.research.google.com/drive/1ieDJ4LoxARrHFqxXWif8Lv8e8aZTgmtH?usp=sharing">
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<br/>
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Build a local RAG app for your emails with Unstructured, LangChain and Ollama.
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<br/>
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```Unstructured``` ```LangChain``` ```Ollama``` ```Llama 3```
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</Card>
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<Card title="Building RAG With PowerPoint presentations" href="https://colab.research.google.com/drive/1NmLSmUMb9ozlELnWa3J4WwdrBfGomwPk?usp=sharing">
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<br/>
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A RAG solution that is based on PowerPoint files.
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<br/>
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```Unstructured``` ```🤗 Hugging Face``` ```LangChain``` ```Llama 3```
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</Card>
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<Card title="Synthetic test dataset generation" href="https://colab.research.google.com/drive/1VvOauC46xXeZrhh8nlTyv77yvoroMQjr?usp=sharing">
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<br/>
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Build a Synthetic Test Dataset for your RAG system in 5 easy steps
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<br/>
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``Unstructured`` ``GPT-4o`` ``Ragas`` ``LangChain``
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<br/>
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</Card>
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<Card title="LLama3.1 RAG evaluation on unstructured text" href="https://colab.research.google.com/drive/1VeK-z8499WV_7wY4JAkWmxpxR2LiR2-m?usp=sharing">
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<br/>
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Build a Synthetic Test Dataset for your RAG system in 5 easy steps
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<br/>
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``Unstructured`` ``GPT-4o`` ``Ragas`` ``LangChain`` ``Llama3.1``
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<br/>
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</Card>
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</CardGroup>
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