In high-traffic support centers, response times are critical. By implementing grounded Large Language Models (LLMs) combined with vector search databases, we built support bots that deflect over 40% of standard user questions.
This tutorial outlines how we connected n8n workflows with OpenAI embeddings to retrieve custom documentation snippets dynamically.