Java RAG Tutorial (with Local LLMs): AI for your PDFs

Download Pieces App: https://pieces.app/ Learn how to implement RAG (Retrieval Augmented Generation) from scratch. This Spring AI course teaches you how to use RAG to combine your own custom data with the power of Large Language Models (LLMs). Learn how to build a RAG (Retrieval Augmented Generation) app in Java that can let you query/chat with your PDFs using generative AI. This project contains some more advanced topics, like how to run RAG apps locally (with OpenAI), how to update a vector DB with new items, how to use RAG with PDFs (or any other files), and how to test the quality of AI generated responses. Head to https://cutt.ly/spring3 and use Coupon Code SPRING3 to get a huge Discount on the course. Course Link: https://cutt.ly/spring3 New Course Bundle: https://cutt.ly/spring-bundle Discount Code: SPRING3 Git : https://github.com/shabbirdwd53/ics 🎟 Join this channel to get access to perks: https://www.youtube.com/channel/UC4VZwhJ4T42SVHy9QbZ5rKw/join RECOMMENDED COURSES 🎬 Spring Boot + React Full Stack Web Application with Tailwind CSS - https://youtu.be/J3iiiLrT1ic 🎬 Spring Security Full Course | From Registration to Login - https://youtu.be/tWcqSIQr6Ks 🎬 Microservices using SpringBoot | Full Example - https://youtu.be/BnknNTN8icw 🎬 Event-Driven Microservices with CQRS Design Pattern - https://youtu.be/sthMcMrspCM 🎬 Implement SAGA Design Pattern using Spring boot and Axon Framework - https://youtu.be/pUFGOngzJig 🎬 Spring Data JPA Tutorial | Full In-depth Course - https://youtu.be/XszpXoII9Sg 🎬 Deploy Springboot Microservices to Kubernetes Cluster - https://youtu.be/VAmntTPebKE 🎬 Automate Microservices deployment with Github Actions - https://youtu.be/snZtITKxUBM 🎬 Go / Golang Full Course for Beginners - https://youtu.be/1NF2LtWbA1g 🎬 Node JS Full Course for Beginners: Learn in 2 Hours - https://youtu.be/ZWhoAwTyXFs 🎬 Express.js Tutorial - Beginner | 2021 - https://youtu.be/ZfzGquJLCAA 🎬 Redis CLI Tutorial | Complete Course - https://youtu.be/0wqZd3zwh7Y BE MY FRIEND: 👨‍💻. Website: http://www.dailycodebuffer.com/ 👨‍🏫 Facebook: https://www.facebook.com/dailycodebuffer 🐦 Twitter: https://twitter.com/DailyCodeBuffer 📸 Instagram: https://www.instagram.com/dailycodebuffer 🎮 GitHub: https://github.com/dailycodebuffer MY FAVOURITE GEAR: 👨‍💻 My Macbook Air M1: https://amzn.to/3eFXlID 💻 ASUS ROG Zephyrus G14, 14": https://amzn.to/32xsXhf 💻 ASUS ROG Zephyrus G14, 14" (US): https://amzn.to/3xa6X6m 🎤 My Main Mic: https://amzn.to/3qDl0z0 🎤 My Main Mic (US): https://amzn.to/3awzUj7 🎙 My Secondary Mic: https://amzn.to/3sOZCJW 🖥 My LG Monitor: https://amzn.to/3zhLY3e 🖱 My Mouse: https://amzn.to/3eDpRKT ⌨️ My Keyboard: https://amzn.to/32xthMZ RECOMMENDED BOOKS: 📙 Mastering Spring Boot 2.0 (Kindle): https://amzn.to/3HsOiHu 📙 Mastering Spring Boot 2.0 (US): https://amzn.to/3tHNUy5 📙 Building Microservices(Kindle): https://amzn.to/3gsA1jL 📙 Building Microservices(US): https://amzn.to/3dDnfNn 📙 Spring Boot in Action: https://amzn.to/32Nf3qW 📙 Spring Boot in Action (US): https://amzn.to/32DkeX9 📙 Spring Microservices in Action: https://amzn.to/3mQ4sCH 📙 Spring Microservices in Action(US): https://amzn.to/32G3Hl7 #rag #openai #ai #springboot