Building Intelligent Apps with Spring AI
In today’s fast-paced world of software development, integrating artificial intelligence into applications is no longer just a trend—it’s a necessity. At the heart of this revolution is Generative AI, a…
Integrating Easy Rules with a Spring Boot Microservice
This post will walk you through integrating the lightweight and straightforward Easy Rules engine with your Spring Boot microservice. We’ll cover the necessary dependencies, basic setup, and an example service…
Integrating RuleBook with a Spring Boot Microservice
This post guides you through integrating the RuleBook rule engine with your Spring Boot microservice. We’ll cover adding the dependency, configuring RuleBook, and creating a service to utilize it. 1.…
Integrating Jess with a Spring Boot Microservice
This post explores how to integrate the Jess rule engine with your Spring Boot microservice. We’ll cover adding the necessary dependency, configuring Jess, and creating a service to utilize it.…
Integrating Drools with a Spring Boot Microservice
This blog post will guide you through integrating the Drools rule engine with your Spring Boot microservice. We’ll cover the necessary dependencies, configuration, and an example service to demonstrate its…
Mastering Retrieval-Augmented Generation (RAG) with Spring AI
Retrieval-Augmented Generation (RAG) has become the gold standard architecture for extending the capabilities of Large Language Models (LLMs) with enterprise domain knowledge. By combining the natural language understanding of LLMs…
Integrating Model Context Protocol (MCP) Tooling with Spring AI
The Model Context Protocol (MCP), originally introduced by Anthropic, is an open standard designed to standardize how Large Language Models (LLMs) connect with external context sources—such as databases, local file…