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RAG & Knowledge Bases

Chat with Supabase Storage Files Using OpenAI RAG

When you run it or send a chat message, it indexes PDFs from Supabase Storage with OpenAI embeddings and lets an AI agent answer questions about them.

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What it does

## AI Agent To Chat With Files In Supabase Storage Made by Mark Shcherbakov from community 5minAI Manually retrieving and analyzing specific information from large document repositories is time-consuming and inefficient. This workflow automates the process by vectorizing documents and enabling AI-powered interactions, making it easy to query and retrieve context-based information from uploaded files. The workflow integrates Supabase with an AI-powered chatbot to process, store, and query text and PDF files. The steps include: - Fetching and comparing files to avoid duplicate processing. - Handling file downloads and extracting content based on the file type. - Converting documents into vectorized data for contextual information retrieval. - Storing and querying vectorized data from a Supabase vector store.

The steps

  1. Get All files
  2. Default Data Loader
  3. Recursive Character Text Splitter
  4. Extract Document PDF
  5. Embeddings OpenAI
  6. Create File record2
  7. If
  8. Get All Files
  9. Download
  10. Loop Over Items
  11. When clicking ‘Test workflow’
  12. Aggregate
  13. When chat message received
  14. OpenAI Chat Model1

22 steps in total.

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