Building a Human-in-the-Loop Prompt Enhancer with LangGraph | PT. 16

✨ Build a Human-in-the-Loop AI Chat App with LangGraph! ✨

Want to create an AI application that learns from human feedback? In this video, we'll build a prompt enhancer using LangGraph, allowing users to refine prompts and get better results with human review. Perfect for creating interactive and intelligent chatbots!

🤖 What you'll learn:

How to build a human-in-the-loop agent with LangGraph.
Enhance prompts dynamically using an LLM (Ollama Model).
Implement a human review node for quality control.
Manage application state and responses effectively.
Step-by-step coding tutorial to build the app from scratch.

This tutorial is perfect for developers looking to learn LangGraph and create interactive AI applications that prioritize accuracy and user experience.

⏱️ Timestamps:

0:00 Introduction to Human-in-the-Loop Agents
1:06 Building the Prompt Enhancer
1:09 Setting Up the Language Model
1:36 Creating the Prompt State
2:03 Implementing the Call LLM Function
2:46 Developing the Improved Prompt Node
3:36 Human Review Node Explained
4:51 Answer Prompt Node and Final Steps
5:23 Constructing the Application
6:37 Main Method and Execution
9:09 Testing and Conclusion

🔗 Resources & Links:

💻 Full Source Code: https://github.com/JustCodeIt7/LangGr...
▶️ More LangChain Tutorials:    / @justcodeit77  
☕ Support the Channel: https://buymeacoffee.com/bmours

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