Vector Store - RAG with Similarity Search

🎓 This lesson is part of the complete Spring AI - From Java Legacy to AI Native Course ( link below ) 🚀 In this hands-on lesson, we walk step-by-step through building a production-ready RAG search request: 🔍 Key Topics Covered: ⚙️ Search Request Builder: Configuring topK matches and enforcing lower-bound similarityThreshold filtering. 🧠 Client-Side Post-Processing: Understanding why similarity threshold filtering happens on the client side and how values from 0.0 to 1.0 affect search precision. 📜 System Prompt Augmentation: Dynamically replacing template parameters with fetched vector database context. 🤖 Restricting LLM Hallucinations: Enforcing strict system boundaries so the Large Language Model politely declines off-topic questions 🧪 Live Swagger Testing: Demonstrating real-time RAG queries for finance and programming courses directly against our running Spring Boot service. 🎓 This lesson is part of the Complete Spring AI Masterclass Course! Link to the full course: https://www.udemy.com/course/spring-a...