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Prerequisite:  This is a continuation of the blog Part 2: Building a Database MCP Server: The Ultimate Code Walkthrough - Part 1 The...

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

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

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

LangGraph is gaining significant traction for building robust, stateful AI agents and multi-agent systems. Its graph-based approach...

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

Struggling with LangGraph’s graph-based data models or writing efficient graph queries? You’re not alone. LangGraph assignments often...

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!

The Model Context Protocol (MCP)  is transforming how AI applications interact with external tools and data sources, offering a...

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,...

Hi Readers, Welcome to another blog on AI projects ideas. Below is a comprehensive set of requirements and specifications for an AI-based...

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