Building Better Chatbots with Semantic Routes - A Guide to LLM Control and Tool Usage

Learn to build more effective chatbots using semantic routing in this 35-minute technical tutorial that explores the conceptual foundations and practical applications of semantic router for conversational AI. Master the implementation of routes and utterances, understand different encoder types, and discover how to achieve fine-grained control over Large Language Models (LLMs) and agent behaviors. Explore practical applications including chat routing, LLM output guardrails, and tool usage control while following along with provided code examples from the semantic-router GitHub repository. Gain hands-on experience with semantic routing techniques that enhance chatbot functionality and provide better control over AI agent responses and behaviors.