Chat with Supabase Storage files using n8n AI Agent
Auto-vectorize PDFs and text files from a Supabase bucket, then answer contextual questions via a chat interface
Read the case’s method and prerequisites
Prerequisites: n8n instance; Supabase project (with Storage and vector extension); OpenAI API Key. Credential types required: supabaseApi and openAiApi. Costs depend on OpenAI embedding and chat usage plus Supabase usage. The source does not provide Supabase vector table initialization SQL; you must prepare the documents table and match_documents function yourself.
n8n · supabase
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