document-ingestor

This package consumes one or more Spanish constitution PDFs and then processes them to generate embedding vectors. The vectors are generated with OpenAI service and PineCone is used to store and retrieve embedding vectors.


License
Other
Install
pip install document-ingestor==0.1.1

Documentation

A sample Python project

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A sample project that exists as an aid to the Python Packaging User Guide's Tutorial on Packaging and Distributing Projects.

This project does not aim to cover best practices for Python project development as a whole. For example, it does not provide guidance or tool recommendations for version control, documentation, or testing.

The source for this project is available here.

The metadata for a Python project is defined in the pyproject.toml file, an example of which is included in this project. You should edit this file accordingly to adapt this sample project to your needs.


This is the README file for the project.

The file should use UTF-8 encoding and can be written using reStructuredText or markdown with the appropriate key set. It will be used to generate the project webpage on PyPI and will be displayed as the project homepage on common code-hosting services, and should be written for that purpose.

Typical contents for this file would include an overview of the project, basic usage examples, etc. Generally, including the project changelog in here is not a good idea, although a simple “What's New” section for the most recent version may be appropriate.