Agentic AI with LangGraph
Generative AI tools are now easily capable of performing complex multi-step processes involving sophisticated assessments and real-world transactions. When we entrust an AI to carry out s...
This course focuses on the LangChain LangGraph library. The "Graph" part of LangGraph implies that we consider individual actions as nodes, and that the information flowing between the nodes is like the edges (edges) or lines that connect these nodes. Within LangGraph, these workflows are defined by objects of the StateGraph class.
To illustrate this, a workflow is created to manage flight and hotel reservations for a senior executive within a fictitious company. The workflow describes the travel dates, destination, and budget limits, then LangGraph connects to the Booking.com travel API, identifies the best combination as needed, and completes the reservations.
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What's inside
6 sections- 1 Table of Contents
- 2 Introduction to Agentic AI and LangGraph
- 3 Building a multi agent workflow
- 4 Full source code – Simulation version
- 5 Full source code – API version
- 6 Summary and key points
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