Build an AI Agent in n8n: Chat with Files from Supabase Storage and Google Drive
Automatically vectorize documents from a Supabase private bucket or Google Drive folder, then query them through an AI agent with natural-language Q&A
Read the case’s method and prerequisites
Prerequisites: an n8n instance (self-hosted or cloud); a Supabase project with API credentials (supabaseApi); an OpenAI API key (openAiApi); Google Drive OAuth2 credentials (googleDriveOAuth2Api); a LlamaParse API key (httpHeaderAuth). Create a private Supabase bucket and files/documents tables with vector matching enabled. Costs: OpenAI embedding and chat models billed by token; LlamaParse billed by page; Supabase billed by storage and DB usage.
n8n · supabase · google-drive · llamaparse
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