LangGraph Crash Recovery Explained | Resume AI Workflow from Last Step using Redis

Description

🚀 LangGraph Crash Recovery Explained | Resume AI Workflow from Last Step using Redis Ever wondered what happens when your AI chatbot workflow crashes in the middle of a long conversation? In this video, we’ll show you step-by-step how to make your LangGraph workflows restart-proof using Redis. What you’ll learn in this tutorial: ✅ How to implement crash recovery in LangGraph workflows ✅ Persisting workflow state after every step using Redis ✅ Resuming the workflow from the last successful step ✅ Difference between in-memory state and external persistence ✅ Building production-ready AI workflows that save cost and time Demo Scenario: Step 1 complete Step 2 complete Step 3 crash simulated Redis stores the last safe state Workflow resumes automatically from step 3 🎯 Why this is important: Avoid duplicate LLM calls → save cost & time Fault-tolerant AI workflows Production-ready design Great talking point for AI/ML interviews 💡 Tools used: LangGraph – Node-based AI workflow automation Redis – Persistent external state storage Python – Workflow simulation & crash handling 🔗 Related Links: LangGraph Documentation: https://docs.langgraph.com Redis Documentation: https://redis.io/docs 👍 Don’t forget to like, share, and subscribe for more real-world AI workflow tutorials! #LangGraph #Redis #CrashRecovery #AIWorkflow #PythonAI #RestartProofAI