A fully-featured AI chatbot can be deployed in under a day to handle common support tickets and upsell products. This bot utilizes OpenAI's GPT-4o for natural language understanding, retrieval-augmented generation (RAG) from a vector store for product data, and communicates via Twilio SMS/WhatsApp or a web widget. The system reduces live agent workload and increases revenue per interaction. Key tools include OpenAI for AI, n8n for workflow orchestration, Twilio for messaging, and Pinecone for a vector database. Building involves setting up APIs, loading product data into the vector store, and creating a webhook to receive user messages. The core logic involves querying the vector store for relevant product information and then using this context within the GPT-4o prompt. Replies are sent back to users via Twilio or a website widget. Deployment requires exposing n8n securely and scaling the vector store as needed. Potential issues like rate limits, data expiry, and authentication errors must be anticipated. The chatbot suggests products by embedding user queries and retrieving similar catalog entries from the vector store. Replacing OpenAI with a self-hosted LLM is possible with adequate compute power. Data storage should be minimized for GDPR compliance. The estimated cost per 1,000 chats is around $10, primarily for Twilio SMS. Integration with other platforms like Facebook Messenger is achievable by swapping specific nodes. Pre-built n8n templates are available for this chatbot pattern.