Enterprise RAG System - AI Knowledge Platform

This workflow powers an enterprise-grade Retrieval-Augmented Generation (RAG) system for knowledge management, replacing manual document searches and policy lookups. The Webhook node handles API requests with header authentication, a Code node validates inputs for setup, document ingestion, or knowledge queries, a Switch node routes operations, and additional Code nodes manage knowledge base initialization, document processing with text chunking and embeddings, and RAG-based query responses using Supabase vector storage and OpenAI. This optimizes knowledge access for teams handling 1,000+ queries monthly, enhancing productivity for enterprises with 50-500 employees.\n\nThis workflow saves 15-20 hours weekly for teams managing extensive documentation, improving query resolution by 90%. Use cases include corporate policy lookup, technical documentation search, or HR knowledge base queries. Requires Supabase ($25/month base), OpenAI API ($0.01-$0.10/1k tokens), and n8n (free or cloud from $20/month). Scalable to 10,000 monthly queries with enterprise-grade Supabase.\n\nThis workflow requires n8n setup via n8n.io download or cloud.n8n.io signup. For Supabase, create a project, enable vector extension, get URL and service key, store as SUPABASE_URL and SUPABASE_SERVICE_KEY. For OpenAI, obtain API key from platform.openai.com, store as OPENAI_API_KEY. Set API_KEY for webhook authentication, ENABLE_PII_REDACTION (true/false) for data protection, and MAX_TOKENS (e.g., 3000) for AI processing. Import JSON, configure Webhook with POST and path 'enterprise-rag-system,' and integrate with your application.\n\nThis workflow’s testing uses Postman with sample payloads (e.g., {operation: 'knowledge_query', query: 'What is our remote work policy?'}) or multipart/form-data for document uploads. Verify knowledge base creation, document ingestion, and query responses in n8n logs. Common errors: invalid API keys (regenerate in Supabase/OpenAI), missing vector extension (enable in Supabase), or large documents (split files). Activate in production, monitor n8n dashboard. Maintain by auditing logs bi-weekly, refreshing keys quarterly, and scaling Supabase for high volumes.\n\nRequired Variables:\n- API_KEY: Webhook authentication key\n- SUPABASE_URL: Supabase project URL\n- SUPABASE_SERVICE_KEY: Supabase service key\n- OPENAI_API_KEY: OpenAI API key for embeddings and chat\n- ENABLE_PII_REDACTION: true/false for PII protection\n- MAX_TOKENS: Token limit for AI processing (e.g., 3000)", "businessValue": "Saves 15-20 hours/week automating 1,000+ knowledge queries, improving efficiency by 90%", "setupTime": "60-90 minutes", "difficulty": "Advanced", "requirements": ["Supabase ($25/month base)", "OpenAI API ($0.01-$0.10/1k tokens)", "n8n instance"], "useCase": "Enterprise knowledge management with AI-driven document search and query resolution"