How To Make Your Own Private AI At Home! скачать в хорошем качестве

How To Make Your Own Private AI At Home!

🔥 Want to build your own private, secure AI chatbot trained on your company data? In this video, I’ll show you step-by-step how to use Ollama to run a local LLM (like Llama 3 or Mistral) and implement *Retrieval-Augmented Generation (RAG)* to connect it with your own knowledge base. This gives you ChatGPT-like responses—powered by your own documents—right on your laptop or server! 💡 Why this matters: • No cloud = complete privacy • Train on your internal data • Works offline • Affordable and fast! 🛠️ What we’ll cover: Intro What is Ollama? Installing Ollama Running LLM locally Intro to RAG & use cases Setting up knowledge base with LangChain + Ollama Testing queries with your data Benefits & real-world scenarios Final thoughts & roadmap 📦 Tools Used: • Ollama • LangChain • Unstructured.io for data ingestion 🚀 Example Use Cases: • HR policies Q&A chatbot • IT support assistant • Company handbook search engine • Custom sales assistant Dive into the world of private AI by creating your own assistant with tools like Ollama and LangChain. This setup ensures data privacy, keeping everything local. Learn how to leverage *local ai* and *llm* to give your AI a "perfect memory" without sending data to the cloud, plus, find out **how to install ollama**. 👉 Subscribe for more AI + DevOps + Tech Manager insights! #Ollama #RAG #LangChain #LocalLLM #PrivateAI #OpenSourceAI #ChatGPTAlternative #AIAutomation #DevOpsAI #CompanyAI