Author: Rahul Mittal

AI for Java Architects – Part 8

Multi-Agent Systems and Agentic AI Architectures "A single agent can solve a task. A team of agents can solve a business problem." Introduction In Part 7, we learned that an…

AI for Java Architects – Part 7

Building AI Agents: Reasoning, Planning, Tools and Autonomous Workflows "A chatbot answers questions. An agent solves problems." Introduction So far in this series, we have learned: Part 1 — LLM…

AI for Java Architects – Part 6

Spring AI Deep Dive: ChatClient, Advisors, Memory, Tool Calling and Structured Output "Spring Boot simplified enterprise development. Spring AI aims to simplify enterprise AI development." Introduction In our journey so…

AI for Java Architects – Part 5

Prompt Engineering for Enterprise AI: The New API Design "In traditional software, APIs define behavior. In AI systems, prompts define behavior." Introduction In our previous articles, we learned: Part 1:…

AI for Java Architects – Part 4

Building Your First RAG Application Using Spring AI "Theory teaches concepts. Projects teach engineering." Introduction In the previous articles we learned: Part 1 LLMs Tokens Transformers Part 2 Embeddings Vector…

AI for Java Architects – Part 3

Retrieval Augmented Generation (RAG): Building AI Systems That Know Your Data "The most valuable enterprise AI systems are not trained on the internet. They are built on your organization's knowledge."…

AI for Java Architects – Part 2

Tokens, Embeddings and Vector Databases for Java Developers "Databases store data. Vector databases store meaning." Introduction In the previous article, we learned: What an LLM is. How transformers work. Tokens…

AI for Java Architects – Part 1

Understanding Large Language Models (LLMs) for Java Developers "Before building AI applications, we must first understand what exactly is happening inside these magical systems." Welcome to the Journey In the…