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Jul 3, 2025
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adding s3-to-qdrant notebook #677

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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="Create a S3 to Qdrant Pipeline using the Unstructured API" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/S3_to_Qdrant_Workflow_using_Unstructured_API.ipynb">
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This notebook walks through using the Unstructured Workflow Endpoint to set up a complete pipeline that pulls documents from S3, processes them using Unstructured, and stores the resulting embeddings in Qdrant for fast vector search and retrieval.
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``Unstructured API`` ``Workflows`` ``S3`` ``Qdrant`` ``VLM`` ``Embeddings``
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</Card>
<Card title="Create a S3 to MongoDB Pipeline using the Unstructured API" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/S3_to_MongoDB_Workflow_using_Unstructured_API.ipynb">
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Learn how to build an end-to-end document processing pipeline that processes PDFs from S3 and stores structured results in MongoDB. Features VLM-powered partitioning, semantic chunking, and vector embeddings using the Unstructured Workflows API.
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