spring ai
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Enterprise Java
MCP Annotations in Spring AI
Spring AI introduces first-class support for the Model Context Protocol (MCP), enabling AI models to discover tools, data, and prompts…
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Enterprise Java
Building Semantic Caching with Spring AI
Traditional caching relies on exact key matching. This approach works well for deterministic inputs but fails when dealing with natural…
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Enterprise Java
Building AI-Powered Applications with Spring AI and LangChain4j
1. Introduction: Java Enters the AI Arena For years, Python dominated AI development while Java—the backbone of enterprise systems—remained on…
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Enterprise Java
Managing Multiple LLM Integrations with Spring AI
Integrating multiple Large Language Models (LLMs) in a single Spring Boot application has become a sought-after architectural pattern for AI-driven…
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Enterprise Java
Designing Intelligent Agents with Spring AI
Spring AI is a powerful framework that seamlessly integrates AI capabilities into Spring Boot applications. It abstracts complex AI workflows…
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Enterprise Java
Real-Time Streaming with Spring AI ChatClient
Streaming response in Spring AI ChatClient enables progressive delivery of AI-generated content, allowing clients to receive partial data as it…
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Enterprise Java
MCP Authorization With Spring AI and OAuth2
As AI systems evolve, integrating external tools securely has become a critical concern. MCP (Model Context Protocol) enables AI applications…
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Enterprise Java
Integrating the OpenAI Moderation Model in Spring AI
When building applications that handle user input, such as forums, chatbots, or social platforms, it is essential to protect users…
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Enterprise Java
Spring AI with Oracle Vector DB
This guide walks you through building a Retrieval-Augmented Generation (RAG) chatbot using Spring Boot, Spring AI, and Oracle Database 23ai.…
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