SESSION

Flow Engineering and Agentic RAG with LangGraph

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OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKGenerative AI
TECHNOLOGIESAI/Machine Learning, Developer Experience, GenAI/LLMs
SKILL LEVELIntermediate
DURATION40 min

Retrieval Augmented Generation (RAG) applications are one of the fastest ways to deliver value with GenAI to your organization. In this talk, we’ll build an advanced RAG agent using LangChain’s flow engineering framework, LangGraph. We’ll show how LangGraph can be used to build reliable RAG agents that follow a user-defined control flow every time they are run. We’ll also show how to debug your application using LangSmith.

SESSION SPEAKERS

Erick Friis

/Founding Engineer
LangChain