Overview
Learn how to build advanced AI guardrails as part of a broader protective system for production-ready AI systems in this 22-minute tutorial. Explore the use of hybrid vector space to develop guardrails specifically useful for chatbot use-cases with brand, topic, or behavioral constraints. The tutorial covers why guardrails are necessary, how they function for AI agents, the differences between sparse and dense vectors, implementing hybrid guardrails with Python, initializing and optimizing a HybridRouter, testing the implementation, and understanding AI guardrails in broader context. Access the complete code on GitHub and follow along with the step-by-step demonstration that requires OpenAI and Aurelio AI API keys.
Syllabus
00:00 Why Guardrails
00:20 Guardrails for Agents
03:40 Sparse and Dense Vectors
08:00 Hybrid Guardrails with Python
12:29 Initializing the HybridRouter
15:01 Optimizing our Hybrid Guardrails
19:16 Testing our Hybrid Router
20:46 AI Guardrails in Context
Taught by
James Briggs