blog.ramittal.com

Building an Enterprise Architecture Copilot: The Complete Capstone Project "The best way to learn AI engineering is not by building chatbots. It is by building systems that solve real enterprise…

Building Production AI Systems on AWS: From Proof of Concept to Enterprise Deployment "An AI demo impresses people. A production AI platform delivers business value." Introduction Over the last ten…

Model Context Protocol (MCP) and Tool Integration: Connecting AI to Enterprise Systems "An LLM without tools is knowledgeable. An LLM with tools becomes useful." Introduction In the previous articles, we…

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…

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…

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…

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:…

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…

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."…