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Interactive PDF Indexing with Jupyter Notebooks: We're excited to introduce streamlined data ingestion! Users can now upload and index PDFs directly within a Jupyter Notebook environment. This simplifies the setup process and makes it easier to experiment with GraphFleet.
New Features:
Jupyter Notebook Integration: A dedicated notebook provides a user-friendly interface for:
Uploading PDF files.
Specifying an output directory for indexed data.
Running the GraphFleet indexing pipeline directly from the notebook.
Improved Error Handling: We've enhanced error handling during the indexing process to provide clearer messages and help you troubleshoot issues faster.
How to Get Started:
Install/Upgrade: Use pip to get the latest version: pip install --upgrade graphfleet
Explore the Notebook: You'll find the new Jupyter Notebook in the [notebook-directory-name] directory.
Start Indexing: Follow the step-by-step instructions in the notebook to upload your PDF data and run the indexing pipeline.
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Highlights:
Interactive PDF Indexing with Jupyter Notebooks: We're excited to introduce streamlined data ingestion! Users can now upload and index PDFs directly within a Jupyter Notebook environment. This simplifies the setup process and makes it easier to experiment with GraphFleet.
New Features:
How to Get Started:
pip install --upgrade graphfleet
This discussion was created from the release GraphFleet 0.2.0 Release.
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