LangGraph Memory with SQLite | Building a Persistent AI Chatbot скачать в хорошем качестве

LangGraph Memory with SQLite | Building a Persistent AI Chatbot

In this video, I walk you through how to build a LangGraph-powered AI chatbot with persistent memory using SQLite. Unlike stateless chatbots, this implementation allows conversations to persist across sessions by storing chat history in a SQLite database. This is essential for building production-ready AI agents that can remember users, track conversation context, and maintain continuity over time. What you’ll learn in this video: What LangGraph is and how it differs from LangChain Designing a stateful chatbot architecture Implementing persistent memory using SQLite Managing conversation threads and message history Best practices for building scalable, memory-aware AI agents Technologies used: Python LangGraph SQLite LLM-based conversational agents This tutorial is ideal for AI engineers, backend developers, and anyone building production-grade chatbots who wants to move beyond simple, stateless LLM interactions. If you find this helpful, don’t forget to like, subscribe, and share. Check the code on GitHub: https://github.com/CodeByFelix/AI-Age... Connect with me LinkedIn:   / felix-ibeamaka   X: https://x.com/Electronics__ Facebook:   / felixibeamaka   Instagram:   / electroni6_247   TikTok:   / uclf6neuxzbrycd8vjqoenya   Join My WhatsApp Group: https://chat.whatsapp.com/C9mZeTCLiNQ... #langgraph #aichatbot #PersistentMemory #sqlite #sqlite3 #pythonai #llm #langchain #backendengineering