Interactive KB Chat with Supabase RAG & AI Ingestion

This n8n workflow creates an interactive knowledge base chatbot using Supabase RAG with AI. It ingests files from Google Drive (PDF, DOCX, TXT, XLSX, CSV, Sheets), extracts text and tabular data, generates embeddings for semantic search, and stores everything in structured Supabase tables. A chat interface allows natural language queries, retrieving relevant chunks via vector similarity search for accurate, context-aware responses.

Key benefits include automating knowledge base maintenance, eliminating manual data entry, handling duplicates/errors for data integrity, and scaling for company-wide use. It saves hours on file processing and enables instant access to internal docs/spreadsheets via chat, ideal for teams avoiding outdated wikis.

Use cases: Knowledge managers building searchable company repos; data teams ingesting reports; developers integrating RAG into apps. Triggers on new/updated Drive files, processes in loops, supports text/tabular extraction, and powers chatbots with AI models for responses. Perfect foundation for enterprise AI assistants.