Building an AI Receptionist with LangGraph

I found LangGraph challenging to wrap your head around, so let me share my learnings with you. Code: https://github.com/whitew1994WW/LangGraphReceptionistTutorial Take a look at Lang Graphs tutorials - they are really good and there are loads more example use cases here: https://github.com/langchain-ai/langgraph/tree/main/examples @LangChain 🎥 Channel: @ww_dot ============================ Chapters ============================ Intro - 00:00 Demo of what we will build - 00:18 Explaination of LangGraph - 01:04 Code Walkthrough - 04:58 =========================== Stay Connected with Me! ============================ 📧 Email: [email protected] (Consultancy coming soon!) 💬 Discord: https://discord.gg/k3pqPcQzQG 🔗 LinkedIn: www.linkedin.com/in/william-white-data-scientist 👨‍💻 GitHub: https://github.com/whitew1994WW =========================== About =========================== I talk about what LangGraph is, and why it works well for building AI agents, then walkthrough code for building an AI receptionist to book appointments using lang graph and streamlit. 📌 Tags: #AI #LangGraph #AgenticAI #OpenAI #GPT4 #Python #EmailAssistant #APIs #AIResearch #RenderDeployment #GraphRAG #aivisualization @LangChain