Index Google Drive files into a Supabase vector store with OpenAI embeddings

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📺 Full walkthrough video: https://youtu.be/r5kN_la0O7I Author: Cole Medin Who it's for This workflow is for developers, data engineers, and knowledge management teams who need to automatically ingest documents stored in Google Drive into a searchable vector database — supporting RAG (retrieval-augmented generation) pipelines or semantic search applications. How it works One-time setup: A chat trigger runs SQL queries to create the required Postgres tables (documents, document_metadata, doc