A comprehensive guide for architects and developers on building secure, scalable Generative AI solutions using Spring AI and Azure OpenAI Service. Covers configuration, RAG, security, and observability.
A comprehensive masterclass on integrating OpenAI's GPT-4, DALL-E, and Embedding models into Spring Boot applications. Learn to implement streaming responses, structured outputs, and RAG foundations using Spring AI.
A comprehensive guide to building a Retrieval Augmented Generation (RAG) system using Spring AI and PostgreSQL pgvector. Learn how to eliminate specialized vector database costs while maintaining ACID compliance and high performance.
Master the art of communicating with LLMs in Java. A comprehensive guide to Spring AI PromptTemplate, structural output mapping, few-shot prompting patterns, and reusable code templates.
A comprehensive analysis for Java architects choosing a Spring AI vector database. We compare Pinecone, Milvus, and pgvector based on performance, cost, and Spring Boot integration patterns.
A comprehensive deep dive into Retrieval-Augmented Generation (RAG) using Spring AI. Learn how to bridge the gap between your private data and LLMs using Java, Vector Stores, and Spring Boot.