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Library / RAG & Knowledge Bases

RAG & Knowledge Bases

Load Google Drive Files into a PGVector Database

When you run it or on a schedule, it reads Google Drive files, splits the text, embeds it with OpenAI, and stores it in Postgres PGVector.

What it does

## Creative Commons License *License*: Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) *Author*: AlexK1919 You are free to use, adapt, and share this workflow—even commercially—under the terms of this license. Full license details: https://creativecommons.org/licenses/by-sa/4.0/

The steps

  1. Default Data Loader
  2. Recursive Character Text Splitter
  3. Embeddings OpenAI
  4. Postgres PGVector Store
  5. When clicking ‘Test workflow’
  6. Loop Over Items
  7. Move File
  8. Download File
  9. Search Folder
  10. Schedule Trigger
  11. Switch
  12. Extract from PDF
  13. Extract from Text
  14. Extract from JSON

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