Real-World Agents: Case Studies from LlamaIndex

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Practical skills & tools to accelerate your career

Real-World Agents: Case Studies from LlamaIndex

Hosted by Jason Liu and Laurie Voss

Wed, Oct 8, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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Systematically Improving RAG Applications

Jason Liu

View syllabus

Wed, Oct 8, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Systematically Improving RAG Applications

Jason Liu

View syllabus

What you'll learn

LlamaIndex Framework Overview

Students will understand what LlamaIndex is and its role in building document agents.

Real-World Application Examples

Students will examine actual applications that use LlamaIndex technologies in practice.

Outcomes and Results Analysis

Students will review the actual results and outcomes achieved by these applications.

Why this topic matters

Document agents are transforming how organizations handle information at scale. By studying real LlamaIndex implementations, students gain practical skills for building AI systems that can intelligently process and retrieve documents - a critical capability as businesses increasingly rely on AI-powered knowledge management.

You'll learn from

Jason Liu

Consultant at the intersection of Information Retrieval and AI

Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.

Laurie Voss

VP, Developer Relations at LlamaIndex

Laurie Voss is VP of Developer Relations at LlamaIndex, the framework for building generative AI agents. He has been a developer for 29 years and was co-founder of npm, Inc. He believes passionately in making the web bigger, better, and more accessible for everyone.

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