Building a RAG-Powered Support Agent in 30 Minutes

Every SaaS company wants a "ChatGPT for their documentation." The goal is to reduce ticket volume by providing instant, accurate answers based on your unique product knowledge. On Aivena Data OS, you can build a production-ready agent in half an hour.

The Support Bot Workflow

The magic happens when your visual logic meets your private data.

Step 1: Deploy the Infrastructure

First, deploy your vector store. In the Aivena Service Catalog, select Weaviate. Ensure "mTLS" is enabled. Aivena will provision a secure, multi-tenant cluster that only your agents can access.

Step 2: Prompt Engineering for Support

The quality of your agent depends heavily on its "System Prompt." Here is a battle-tested template for a support bot:

> System Prompt Template:

> "You are an expert technical support assistant for [Product Name].

> 1. Use ONLY the provided context to answer.

> 2. If the answer isn't in the context, say 'I'm sorry, I don't have that information. Would you like to speak to a human?'

> 3. Always include 'Source:' links at the bottom.

> 4. Keep your tone professional but friendly."

Step 3: Connect and Deploy

In the Aivena AI Agent Builder, drag a "Vector Search" node and connect it to your Weaviate instance. Map the "Query" input to the user's message. Then, pipe the results into an "LLM Node."

Test the flow in the interactive sidebar. If the answers are accurate, click Deploy.

Step 4: Embed the Widget

Aivena provides a pre-built React component. You can drop it into your existing app with just a few lines of code.

import { AivenaChatWidget } from '@aivena/sdk-react';


function App() {
  return (
    <div className="App">
      <AivenaChatWidget 
        agentId="your-agent-id-here"
        theme="dark"
        welcomeMessage="Hi! How can I help you with Aivena today?"
        primaryColor="#4a6cf7"
      />
    </div>
  );
}

Why This Matters

Building this manually involves managing FastAPI backends, vector DB clusters, and complex prompt templates in code. On Aivena Data OS, your infrastructure, logic, and UI are unified, allowing you to focus on the content that helps your customers.

Ready to automate your support? Start with the AI Agent Builder on Aivena Data OS.