Connecting LangChain4j to Local LLMs in LM Studio скачать в хорошем качестве

Connecting LangChain4j to Local LLMs in LM Studio

In this tutorial, we are going to learn how to connect LangChain4j to local Large Language Models (LLMs) running inside LM Studio - no OpenAI account, no API billing, everything runs on your machine! LM Studio is an incredibly beginner-friendly GUI that lets you download and run open-source models (like Gemma, Llama 3, and Mistral) offline. We will walk through how to start the LM Studio local server and use its OpenAI-compatible API to communicate with our LangChain4j Spring Boot application. 📌 What You'll Learn: ✅ What LM Studio is and how to download local AI models (like Gemma 3). ✅ How to start the LM Studio Local Server (OpenAI Compatible API). ✅ Why you MUST force HTTP/1.1 in Java to connect to LM Studio. ✅ Testing LM Studio REST API endpoint ✅ Creating a Spring Boot project with LangChain4j ✅ How to configure OpenAiChatModel programmatically ✅ Building a basic REST API for AI chat 📖 Complete Tutorial & Source Code: Get the full step-by-step guide and complete source code on our blog: https://bootcamptoprod.com/langchain4... Connect with me: LinkedIn:   / bunty-raghani   ━━━━━━━━━━━━━━━━━━━━━━━━━ 🛒 MY SETUP - The gear that powers these tutorials: ━━━━━━━━━━━━━━━━━━━━━━━━━ 🖥️ Mac Mini: https://amzn.to/4ltPhup ⌨️ Logitech K235 Keyboard: https://amzn.to/4mNI0Xh 🖱️ Logitech MX Master 3S Mouse: https://amzn.to/45lZFja 🎤 Boya BY-PM700 Mic: https://amzn.to/4oHUIc1 🌐 Hostinger Web Hosting: https://hostinger.in?REFERRALCODE=A0W... 📝 Disclaimer: This description contains affiliate links (like Amazon & Hostinger). If you click one and make a purchase, I may receive a small commission at no extra cost to you. As an Amazon Associate, I earn from qualifying purchases. Thanks for supporting the channel! ⏰ Timestamps: 00:00 - Introduction 00:11 - What is LM Studio? 01:11 - Downloading a Model 04:35 - Interacting with LLM using REST API 05:17 - Checkpoint 05:35 - App Overview 06:52 - Code Walkthrough 12:54 - Testing 14:10 - LLM Request and Response Logging 14:59 - Technical Constraint: HTTP 1.1 16:18 - LM Studio Additional Features 17:34 - Outro