Building a Deep Research AI Multi-Agent with LlamaIndex
Key Takeaways:- Learn how to build an AI agent using LlamaIndex.
- Discover how to structure and evaluate AI agents for deep research.
- Build your first AI multi-agent for researching news articles.
Description
AI agents are becoming essential tools for automating complex tasks like deep research, especially when paired with frameworks like LlamaIndex. By structuring and evaluating these agents effectively, data scientists and AI engineers can build powerful tools that gather, organize, and summarize information from diverse sources with speed and accuracy.
In this hands-on code-along session, Laurie Voss, VP of Developer Relations at LlamaIndex, will guide you through building a deep research AI multi-agent using LlamaIndex. You’ll learn how to structure AI agents, build one designed specifically for researching news articles, and evaluate its performance to ensure high-quality results. Whether you’re new to agent frameworks or looking to deepen your expertise, this session will give you practical skills for building intelligent, research-focused AI systems.
Presenter Bio
Laurie is web developer turned startup executive turned data and AI evangelist. With over 25 years of experience in tech, he runs the developer relations team at LlamaIndex, teaching people how to build AI applications. Previously, Laurie was the founding CTO of npm, taking it from a hobby project to 5M active users. He also served as COO and CDO at npm.