Team to Create Outside the Box
As Large Language Models (LLMs) continue to evolve, two fundamental limitations persist: knowledge cutoffs and isolation from execution environments. An AI model may possess impressive reasoning capabilities, but without direct…
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…
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…
Spring Data REST is a Spring module that automatically creates RESTful APIs for Spring Data repositories. It eliminates boilerplate code, allowing you to focus on your application’s core logic. Benefits:…
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…
Spring Cloud Circuit Breaker provides a facade over popular circuit breaker implementations, giving developers flexibility and a consistent API. However, the level of support for Spring Cloud Circuit Breaker interfaces…
In this article, we’ll focus on using unsupervised learning with DL4J to detect anomalies in data traffic passing through your Spring Boot Gateway. This is especially useful when you don’t…