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Currently Playing: Conditional Workflows in LangGraph | Agentic AI using LangGraph | Video 7 | CampusX

This video shows you how to build conditional workflows using LangGraph—where the next step depends on specific outcomes or decisions. What’s covered: Designing workflows with branching logic Handling quality evaluation (QE) checks Using LLM outputs to guide different paths (e.g., review handling) Perfect if you want more control over how your AI workflows adapt to different scenarios. Code - https://github.com/campusx-official/langgraph-tutorials ============================ Did you like my teaching style? Check my affordable mentorship program at : https://learnwith.campusx.in DSMP FAQ: https://docs.google.com/document/d/1OsMe9jGHoZS67FH8TdIzcUaDWuu5RAbCbBKk2cNq6Dk/edit#heading=h.gvv0r2jo3vjw ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at support@campusx.in ⌚Time Stamps⌚ 00:00 - Recap 04:38 - Conditional Workflow / QE 24:20 - LLM - Review Handling