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Prerequisite:  This is a continuation of the blog Part 2: A Complete Guide to Creating a Multi-Agent Book Writing System 🧰 Tool Definitions Let’s now define all our MCP tools, one by one. 📅 Get Full Itinerary @mcp.tool() async def get_full_itinerary(city: str, days: int = 5) -> str: """Get a complete travel itinerary with direct Ollama AI using file-based data. Args: city: Name of the city to visit days: Number of days for the itinerary (default: 5) Returns: A formatted m

Ever wished you had a friend who's traveled everywhere, knows all the hidden gems, and could instantly create the perfect itinerary for...

Picture this: You're at your computer, juggling three different databases for three different projects. You keep switching connection...

In this blog, we’ll enhance our LangGraph chatbot by adding Human-in-the-Loop (HITL) capabilities. Learn how to pause AI workflows for expert input using interrupt(), seamlessly blend human reasoning into your LLM responses, and build more reliable, production-ready chat agents — all on top of the memory-powered chatbot we built previously.

Want your chatbot to remember what you said earlier? In this beginner-friendly guide, we build on our previous LangGraph chatbot and add memory using MemorySaver. Learn how to persist conversation history, manage sessions using threads, and inspect state — step-by-step.

Hello Readers , Welcome to Codersarts. In this blog, we will delve into MCP and Multi-Agent project ideas for AI Engineers. These...

Ready to give your chatbot superpowers? In this beginner-friendly guide, we’ll show you how to integrate external tools like web search into your LangGraph-powered chatbot. Learn what tools are, why they matter, and how to add them step-by-step — no prior AI experience needed!

Curious about how to build smart, memory-capable AI workflows? This beginner-friendly blog demystifies LangGraph, a powerful tool for creating stateful applications with large language models. We break down real code step-by-step, explain key concepts like state, nodes, and graphs in plain English, and help you build your own chatbot — no prior graph theory needed!

Prerequisite:  This is a continuation of the blog Part 4: A Complete Guide to Creating a Multi-Agent Book Writing System Solutions for...

Prerequisite:  This is a continuation of the blog Part 3: A Complete Guide to Creating a Multi-Agent Book Writing System 🚀 Chapter...

Prerequisite:  This is a continuation of the blog Part 2: A Complete Guide to Creating a Multi-Agent Book Writing System ✍️ Agent 3 -...

Prerequisite:  This is a continuation of the blog Part 1: A Complete Guide to Creating a Multi-Agent Book Writing System 🧠 LLMAgent: The...

Picture this: You're sitting in a cozy café, and someone at the next table casually mentions they just built an AI team that researched,...

Introduction Accurately detecting and tracking people across video frames is essential for modern applications in retail analytics,...

Introduction Accurately detecting and tracking people across video frames is essential for modern applications in retail analytics,...

Introduction In industries such as augmented reality, robotics, gaming, and gesture-based control, understanding and interpreting hand...

Introduction Hand segmentation is a fundamental computer vision task that enables machines to understand and interact with human gestures...

Introduction In many industries, particularly in food processing, healthcare, and pharmaceuticals, personal protective equipment such as...

Dear Readers , we appreciate your visit to Codersarts. In this blog, you'll find an extensive collection of sample assignments and...

In an era of misinformation, the ability to  automatically fact-check news content using AI  is becoming essential. With the rise of...