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Sep 25, 2025
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Update notebooks.mdx #752

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7 changes: 7 additions & 0 deletions examplecode/notebooks.mdx
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Expand Up @@ -6,6 +6,13 @@ description: "Notebooks contain complete working sample code for end-to-end solu
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<CardGroup cols={2}>
<Card title="Agentic RAG with Visually Grounded Answers and Visual Citations" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/Agentic-RAG-with-Visually-Grounded-Answers-and-Visual-Citations.ipynb">
<br/>
Learn how to build an AI-powered document processing system that extracts both text and images from PDFs in S3, generates intelligent descriptions for visual elements, and enables a searchable knowledge base that can answer questions about charts, diagrams, and product visuals.
<br/>
``Unstructured API`` ``Workflows`` ``S3`` ``Image Processing`` ``Visual RAG`` ``Enterprise AI``
<br/>
</Card>
<Card title="Building a Hybrid RAG System: From Fragmented Data to Unified Intelligence" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/Unstructured_Hybrid_RAG_Pipeline_with_ElasticSearch.ipynb">
<br/>
Learn how to build a comprehensive hybrid RAG system that processes multiple data sources simultaneously - combining S3 PDFs and Elasticsearch records into a unified knowledge base for enterprise AI applications.
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