Building Production-Ready Chatbots & Agents with Rax AI
A comprehensive guide to creating responsive, intelligent chatbots and autonomous agents using the Rax AI SDK. Best practices for handling streaming context and state.
Chatbots and agentic applications require high responsiveness, clean context management, and stable streaming token delivery.
In this tutorial, we cover the exact architectural pattern to deploy a production chatbot using the Rax AI SDK.
1. Stream Handling: Leveraging SSE (Server-Sent Events) with Rax AI's sub-50ms stream initialisation.
2. State Persistence: Managing long-form conversation context without exceeding memory bounds.
3. Tool Calling & Function Execution: Allowing the agent to query database APIs safely in real-time.
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