Artificial Intelligence Machine Learning and AI Python

Building a Deep Research AI Multi-Agent with LlamaIndex

Laurie Voss, VP of Developer Relations at LlamaIndex, guides you through building a deep research AI multi-agent using LlamaIndex.

Laurie Voss

2025년 5월 7일

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Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

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.

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