What it does
An n8n workflow that reads text and PDF files stored in Supabase, skips files it has already processed, and turns the content into embeddings in a Supabase vector store. An AI agent then answers questions using the retrieved passages from your documents.
Use cases
- 01Ask questions across a folder of PDF reports
- 02Find a clause or figure in stored documents
- 03Keep a searchable knowledge base from uploads
Connects
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