Build a Support Agent with Vercel AI SDK - Full Tutorial

Learn to build an intelligent customer support agent using the Vercel AI SDK in this comprehensive tutorial that demonstrates how to create an autonomous system capable of answering questions from support documentation or performing real-time web searches. Master the fundamentals of Retrieval Augmented Generation (RAG) and explore how embeddings work within vector databases to enable efficient document storage and retrieval. Discover how to implement text splitting strategies for optimal document processing and gain hands-on experience with the Vercel AI SDK's core features, including structured outputs and tool calling capabilities. Practice building systems that can make intelligent routing decisions between different data sources, and develop skills in creating agentic workflows that autonomously determine the best approach for handling user queries. Work through practical challenges that reinforce key concepts while building a production-ready support agent that combines local knowledge base searches with external web search functionality using the TypeScript-first Vercel AI SDK toolkit.