Java + RAG: Create an AI-Powered Financial Advisor using Spring AI 💡 скачать в хорошем качестве

Java + RAG: Create an AI-Powered Financial Advisor using Spring AI 💡

🔥 Learn how to implement Retrieval Augmented Generation (RAG) in your Java applications using Spring AI! In this easy to follow tutorial, we'll build a real-world application that analyzes financial documents using AI, while learning essential concepts about tokens, context windows, and vector databases. ⭐ What You'll Learn: • Understanding RAG and why it matters for Java applications • Working with Spring AI and vector databases • Implementing document ingestion with PG Vector • Creating an intelligent financial document analyzer • Best practices for token management and context windows • Building a complete RAG application from scratch 🔍 Topics Covered: 00:00:00 Introduction to RAG 00:00:24 Why RAG Matters & Limitations 00:01:58 Understanding Tokens & Costs 00:05:13 What is RAG vs Not RAG 00:15:12 Building RAG Demo Application 00:17:13 Setting Up Vector Database 00:27:34 Creating REST Controller 00:31:53 Testing RAG Implementation 00:33:51 Conclusion & Next Steps 💻 Code & Resources: • GitHub Repository: https://github.com/danvega/java-rag • Spring Initializer: https://start.spring.io/ • Spring AI Documentation: https://docs.spring.io/spring-ai/refe... 🛠️ Technologies Used: • Java 23 • Spring Boot 3.3.4 • Spring AI • PG Vector • Docker • OpenAI API 📌 Key Concepts: • RAG (Retrieval Augmented Generation) • Vector Databases • Document Processing • Embeddings • Token Management • Context Windows 💡 Pro Tips: • Use environment variables for API keys • Consider token limits when processing documents • Implement proper error handling • Monitor your API usage and costs • Use Docker Compose for local development Questions about RAG, Spring AI, or Java development? Drop them in the comments below! 👇 👋🏻Connect with me: Website: https://www.danvega.dev Twitter:   / therealdanvega   Github: https://github.com/danvega LinkedIn:   / danvega   Newsletter: https://www.danvega.dev/newsletter SUBSCRIBE TO MY CHANNEL: http://bit.ly/2re4GH0 ❤️