Estimated reading time: 5 minutes Table of contents Introduction to LangGraph Key Features: Setting Up Our Environment Installation Understanding the Power of Coordinated Processing Introduction to LangGraph LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through…
In this tutorial, we explore the advanced capabilities of Google’s Agent Development Kit (ADK) by building a multi-agent system equipped with specialized roles and tools. We guide you through creating agents tailored for tasks such as web research, mathematical computation, data analysis, and content creation. By integrating Google Search, asynchronous execution, and modular architecture, we…
In this tutorial, we walk through the creation of an advanced AI evaluation framework designed to assess the performance, safety, and reliability of AI agents. We begin by implementing a comprehensive AdvancedAIEvaluator class that leverages multiple evaluation metrics, such as semantic similarity, hallucination detection, factual accuracy, toxicity, and bias analysis. Using Python’s object-oriented programming, multithreading…
Rogers Jeffrey Leo John, CTO of DataChat, shares insights on GenAI trends, agentic AI, SLMs, and building responsible, real-world AI systems. Welcome, Rogers. To start, can you share a bit about your professional journey and what led you to co-found DataChat?I’m Rogers Jeffrey Leo John, co-founder and CTO of DataChat, a natural language based no-code…
As large language models (LLMs) evolve from simple text generators to agentic systems —able to plan, reason, and autonomously act—there is a significant increase in both their capabilities and associated risks. Enterprises are rapidly adopting agentic AI for automation, but this trend exposes organizations to new challenges: goal misalignment, prompt injection, unintended behaviors, data leakage,…
Microsoft has taken a major leap into the future of web browsing with the launch of Copilot Mode in Edge, positioning it as the company’s first real step toward an AI-native browser. This marks a pivotal moment not just for Edge, but for the entire concept of what a browser can be in the era…
The landscape of AI foundation models is evolving rapidly, but few entries have been as significant in 2025 as the arrival of Z.ai’s GLM-4.5 series: GLM-4.5 and its lighter sibling GLM-4.5-Air. Unveiled by Zhipu AI, these models set remarkably high standards for unified agentic capabilities and open access, aiming to bridge the gap between reasoning,…
The White House just released the U.S. AI Playbook—formally titled “America’s AI Action Plan”—a sweeping, high-impact federal strategy that clarifies one thing: the United States is going all in on artificial intelligence. Whether you’re in Silicon Valley, leading a Fortune 500, or managing a critical government agency, the message is unambiguous: scale AI fast, dismantle…
In this tutorial, we walk through the complete implementation of an advanced AI agent system powered by Nomic Embeddings and Google’s Gemini. We design the architecture from the ground up, integrating semantic memory, contextual reasoning, and multi-agent orchestration into a single intelligent framework. Using LangChain, Faiss, and LangChain-Nomic, we equip our agents with the ability…
The landscape of artificial intelligence continues to evolve rapidly, with breakthroughs that push the boundaries of what models can achieve in reasoning, efficiency, and application versatility. The latest release from NVIDIA—the Llama Nemotron Super v1.5—represents a remarkable leap in both performance and usability, especially for agentic and reasoning-intensive tasks. This article provides an in-depth look at…