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Production Grade AI Agents using LangGraph (Map Reduce Implementation)

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Jul 28, 2024
24:39

Welcome to my latest tutorial on LangGraph! In this video, I explain how to leverage the LangGraph framework to build robust, stateful, multi-actor applications using map-reduce patterns. You'll learn how to use the "Send" API to distribute tasks across multiple nodes, enabling parallel execution and aggregation of results. This is perfect for those looking to optimize their AI workflows and make the most out of LangGraph's powerful tools. If you found this video helpful, please give it a thumbs up, leave a comment, and don't forget to subscribe for more tutorials and insights on AI and machine learning. Your support helps me create more content to help you master these advanced concepts. Enjoy the video! GitHub: https://github.com/AIAnytime/Map-Reduce-implementation-using-LangGraph/tree/main Join our DISCORD: https://discord.com/invite/aianytime Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #langgraph #aiagents #ai

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Production Grade AI Agents using LangGraph (Map Reduce Implementation) | NatokHD