https://github.com/slashtechno/fda-ai
https://github.com/slashtechno/fda-ai
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/slashtechno/fda-ai
- Owner: slashtechno
- Created: 2024-08-11T02:16:42.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-29T02:31:00.000Z (almost 2 years ago)
- Last Synced: 2025-02-13T08:29:48.240Z (over 1 year ago)
- Language: Python
- Size: 12 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# rag-testing
A learning project for RAG!
The ideal outcome of this project is to parse 100-200 page PDFs and extract the relevant information. Currently, I'm trying to use [Unstructured](https://docs.unstructured.io/open-source/introduction/overview)'s open source library to parse and partition the PDFs.