Intelligent Document Processing and Embedding Workflow

This n8n workflow intelligently manages your documents stored in Supabase. It begins by fetching all files from your private Supabase storage, then filters out any placeholder files. For each valid document, it downloads the content, extracts text, and prepares it for AI processing using a default data loader. The text is then systematically split into manageable chunks with overlap to preserve context. Finally, these processed text chunks are embedded using OpenAI's embedding models, creating vector representations ready for advanced search, analysis, or retrieval augmented generation (RAG) systems. The workflow also creates a record in your Supabase 'files' table to track processed documents.