AI Agent To Chat With Files In Supabase Storage

Video Guide I prepared a detailed guide explaining how to set up and implement this scenario, enabling you to chat with your documents stored in Supabase using n8n. Youtube Link Who is this for? This workflow is ideal for researchers, analysts, business owners, or anyone managing a large collection of documents. It's particularly beneficial for those who need quick contextual information retrieval from text-heavy files stored in Supabase, without needing additional services like Google Drive. What problem does this workflow solve? Manually retrieving and analyzing specific information from large document repositories is time-consuming and inefficient. This workflow automates the process by v

Help me set up the n8n workflow "AI Agent To Chat With Files In Supabase Storage" (https://n8n.io/workflows/2621). It uses: HTTP Request, Supabase, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter, Supabase Vector Store, Default Data Loader, Vector Store Question Answer Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.