Build Reliable AI Agent with Human in The Loop | Agent with User Feedback

LangGraph + Neo4j Crash Course for Beginners: AI Agent Development using Knowldege Graph | Hands-on! - Build Reliable AI Agent with Human in The Loop | Agent with User Feedback

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18 learners

What you'll learn

This course includes

3.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

LangGraph LangChain AI Agent Human in the Loop Multi-Agent System Agentic Workflow AI Coordination Human Feedback LangChain Agents What is Human-in-the-Loop? LangGraph Agents - Human-In-The-Loop - User Feedback The Secret to Making AI Agents 100% Reliable - Human in the Loop (n8n)

Full Transcript

GitHub Repo: https://github.com/homayounsrp/human-in-the-loop Get Tavily API: https://www.tavily.com/ Get OpenAI API: https://platform.openai.com/docs/overview This project explores how to build a agentic system using LangGraph, with a focus on incorporating a human-in-the-loop (HITL) approach. The system includes several AI agents that collaborate to handle complex tasks, while one dedicated agent is responsible for reaching out to a human when clarification, approval, or additional input is required. This setup enhances reliability and accountability, especially in tasks where full automation may fall short. #LangGraph, #LangChain, AI Agent, Human in the Loop, Multi-Agent System, Agentic Workflow,