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Generative AI & Agentic Systems

From AI Concepts to Production-Ready Systems

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gen-ai ask the omniscient
Generative AI & Agentic Systems
From AI Concepts to Production-Ready Systems
  • RAG based intelligent document processing
    Artificial Intelligence | RAG

    Designing Intelligent Document Processing – an Agentic RAG Architecture

    BySourav Kumar Chatterjee March 14, 2026March 14, 2026

    How I built a graph-orchestrated, schema-guided Intelligent Document Processing system for enterprise-ready document intelligence. This POC intentionally balances simplicity with production-grade architectural thinking. It avoids over-engineering while still modeling scalable Generative AI system design. The Real Challenge in Enterprise AI Systems In the current wave of Generative AI, most applications focus on chatbots, summarization tools,…

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  • multi agent AI based chat friends
    Artificial Intelligence

    AI Friends — Building a Cost-Efficient Powerful Multi-Agent Generative AI System from Scratch

    BySourav Kumar Chatterjee March 1, 2026March 1, 2026

    It all started on a lazy Sunday early morning sitting on a couch and reading messages from friends on WhatsApp. As no one was online at this early hours so I was missing immediate response. This resulted in the idea of having a chat group with AI friends who can talk to me anytime. So…

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  • RAG agentic ai
    Artificial Intelligence

    RAG & Agentic AI: First step to transition to AI Roles

    BySourav Kumar Chatterjee February 23, 2026February 23, 2026

    Generative AI, RAG, LangChain, LangGraph and Multi Agent AI Systems explained Experienced software professionals transitioning into AI Engineer or AI Architect roles often learn how to use Generative AI tools but struggle to explain how enterprise AI systems are actually designed. Modern enterprise AI systems are not built using standalone LLM prompts. They are built…

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  • RAG - retrieval augmented generation
    Artificial Intelligence

    Why Retrieval-Augmented Generation (RAG) is so important: Core Concepts Explained

    BySourav Kumar Chatterjee December 21, 2025February 23, 2026

    Large Language Models (LLMs) have changed how we interact with software. They can write code, summarize documents, and answer questions in natural language. However, despite all their capabilities, LLMs have a fundamental weakness: they do not truly “know” your data. This limitation becomes very clear when we try to use LLMs in real-world, enterprise scenarios….

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  • Deep Learning vs Machine Learning
    Artificial Intelligence

    Deep Learning for Beginners: Unleashing the Future of AI

    BySourav Kumar Chatterjee September 14, 2025December 21, 2025

    Introduction: Artificial Intelligence is transforming our world, and at the heart of this revolution lies a dynamic duo: Deep Learning and Machine Learning. In this article, we’ll embark on a thrilling journey to understand how Deep Learning takes AI to new heights and what the difference is between deep learning and machine learning, in a…

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  • LLM powered AI assistant
    Artificial Intelligence

    My First LLM powered AI assistant with LangChain & OpenAI: A Hands-On Micro Project

    BySourav Kumar Chatterjee July 6, 2025December 21, 2025

    With the rapid evolution of Generative AI, building intelligent AI agents has become more accessible than ever. Recently, I developed a simple LLM powered AI assistant using OpenAI’s GPT-4o-mini and LangChain, powered by a minimal Streamlit interface. While the idea is simple, the approach demonstrates how we as developers—especially those coming from traditional enterprise backgrounds—can…

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  • Artificial Intelligence
    Artificial Intelligence

    Introduction to Artificial Intelligence

    BySourav Kumar Chatterjee June 28, 2025July 13, 2025

    Introduction Imagine a world where computers can not only follow the rules but also learn from experience, just like humans. This is the magical realm of Artificial Intelligence (AI). In traditional computer programming, the programmer defines the logic to be followed by the program based on the requirement. The decision tree is defined explicitly by…

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  • langchain vs autogen
    Artificial Intelligence

    LangChain vs AutoGen for Agentic AI: What Has Changed in 2026

    BySourav Kumar Chatterjee June 25, 2025August 16, 2026

    LangChain vs AutoGen is a comparison many developers encounter when they start building Agentic AI systems. Both frameworks became important in the evolution of LLM-powered applications, but the landscape has changed significantly since the early days of agent frameworks. LangChain has evolved into a broader framework for building LLM-powered applications and agents, while LangGraph provides…

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  • Machine Learning
    Artificial Intelligence

    What is Machine Learning – Are ML and AI same

    BySourav Kumar Chatterjee June 24, 2025June 21, 2025

    Introduction Welcome, learning enthusiasts! Today, we embark on a journey to unravel the captivating world of Artificial Intelligence (AI) and its trusty sidekick, Machine Learning (ML). If you’re a college student or a budding IT enthusiast, you’ve likely heard these buzzwords thrown around, but what exactly do they mean? How do they work together? Fear…

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  • generative ai
    Artificial Intelligence

    What is Generative AI and how does it work?

    BySourav Kumar Chatterjee June 23, 2025June 24, 2025

    Generative AI is a subset of Artificial Intelligence (AI) which is capable of creating new content, such as text, images, music, and video. Unlike traditional AI models that are programmed for specific tasks, Generative AI employs machine learning techniques to learn patterns from existing data and then produce new data that follow similar patterns. Generative…

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