tutorials · 1 min read
Tutorial: Build a Customer Support Bot in 30 Minutes
Step-by-step tutorial to create an intelligent support agent with RAG, guardrails, and human escalation.
BABhogar AI TeamProduct & Engineering
In this tutorial, you'll build a production-ready customer support agent using BhogarAI. We'll cover agent creation, knowledge base setup, guardrails configuration, and human escalation - all in under 30 minutes.
Step 1: Create a new agent in the Agent Builder. Select GPT-4o as the model, set the temperature to 0.3 for consistent responses, and configure the system prompt with your company's support guidelines and tone of voice.
Step 2: Create a Knowledge Base and upload your support documentation - FAQs, product guides, troubleshooting articles. BhogarAI automatically chunks, embeds, and indexes your documents for retrieval.
Step 3: Connect the Knowledge Base to your agent. In the agent settings, enable RAG retrieval and set the top-k results to 5. This ensures the agent always grounds its responses in your actual documentation.
Step 4: Add guardrails. Enable PII detection to prevent the agent from requesting or displaying sensitive customer data. Add topic guardrails to keep the agent focused on support topics. Finally, configure the human escalation trigger for complex issues the agent can't resolve.