Build a Fully Local AI Chatbot with LangGraph, Llama 3.1 & Streamlit (No API Required) скачать в хорошем качестве

Build a Fully Local AI Chatbot with LangGraph, Llama 3.1 & Streamlit (No API Required)

Stop paying for expensive API keys 🚫 In this video, you’ll learn how to build a fully local, stateful AI chatbot using LangGraph, Llama 3.1, Ollama, and Streamlit — running 100% offline on your own machine. This is not a basic prompt-chaining demo. You’ll build a real-world chatbot architecture with memory, state management, and a clean chat UI, just like production AI apps. We move beyond simple LangChain chains and dive deep into LangGraph’s StateGraph architecture, allowing your chatbot to manage conversation history, scale logically, and behave like a true AI agent. 🚀 What You’ll Build A real-time chatbot UI using Streamlit A Python backend powered by LangGraph Persistent chat memory using MemorySaver A local LLM setup using Llama 3.1 via Ollama A fully offline AI chatbot (no OpenAI, no paid APIs) 🧠 What You’ll Learn How LangGraph works (and why it’s better than basic chains) Designing chatbot workflows with StateGraph Implementing conversation memory with MemorySaver Running Llama 3.1 locally using Ollama Connecting a Python backend to a Streamlit chat UI Building scalable, state-aware AI applications Best practices for structuring LLM-powered Python apps 🛠️ Tech Stack Used LangGraph – Stateful, graph-based AI workflows LangChain – Messaging and LLM abstractions Ollama – Local LLM runtime Llama 3.1 – Open-source large language model Streamlit – Chat UI & frontend Python – Backend logic 🎯 Who This Video Is For Python developers learning AI & LLMs Developers building local AI applications AI engineers exploring LangGraph & agents Anyone avoiding OpenAI API costs & limits Beginners who want real architecture, not toy demos By the end of this video, you’ll know how to build production-ready local AI chatbots using modern open-source tools. 👍 Like & subscribe for more LangGraph, Streamlit, and AI engineering tutorials 💬 Comment if you want multi-agent systems, tool calling, or vector memory next #coding #aiprojects #python #genai #streamlit #ui #llama3 #aimodel #ai #generativeai #chatgpt #chatbot