Build Your Own “Deep Research” with LlamaIndex

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Build Your Own “Deep Research” with LlamaIndex

Hosted by Laurie Voss and Noah Hein

Learn directly from Laurie Voss and Noah Hein

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85 students

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Level Up From Software Engineer to AI Engineer

Shawn "Swyx" Wang and Noah Hein

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85 students

Share this lesson

Go deeper with a course

Level Up From Software Engineer to AI Engineer

Shawn "Swyx" Wang and Noah Hein

View syllabus

What you'll learn

AgentWorkflow in Action

Spin up a single agent that answers live queries in < 5 min.

Multi-agent orchestration

Chain Research → Write → Review agents using shared context.

Streaming & tracing

Stream deltas, tool calls, and outputs for real-time insight.

Self-reflection loops

Add review cycles so agents critique and improve their work.

Why this topic matters

Retrieval-augmented generation (RAG) is table stakes. The next wave is agentic: workflows that reason, call tools, coordinate with other agents, and even critique themselves. LlamaIndex Workflows give you a declarative way to stitch all that together—no bespoke orchestration glue required.

You'll learn from

Laurie Voss

VP of Developer Relations at LLamaIndex

Laurie Voss is the Vice President of Developer Relations at LlamaIndex, helping developers connect their data to LLMs and build Retrieval-Augmented Generation and agentic workflows. Microsoft Developer

A veteran technologist, he co-founded npm, Inc.—the company behind the Node package manager.

With more than 20 years of web-development experience, Voss is a prolific speaker and writer dedicated to breaking down complex technologies and making the web bigger, better, and more accessible for everyone.