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Integration of LangGraph, MCP (Model Context Protocol), and Ollama to create a powerful agentic AI chatbot

Hi guys, let’s dive into the world of building brainy chatbots! You know, the ones that can actually do things and not just parrot back information. Lately, I’ve been playing around with some really cool tech, LangGraph,MCP and Ollama and let me tell you, the potential is mind-blowing. We’re talking about creating multi-agent chatbots for […]

Setting Up Ollama & Running DeepSeek R1 Locally for a Powerful RAG System

Discover how to create a private AI-powered document analysis system using cutting-edge open-source tools. System Requirements 16GB RAM minimum 10th Gen Intel Core i5 or equivalent 10GB free storage space Windows 10+/macOS 12+/Linux Ubuntu 20.04+ 🛠️ Step 1: Installing Ollama Download Ollama for macOS, Linux, or Windows: Download Ollama Follow installation instructions based on your […]

Introducing AutoGen v0.4: Revolutionizing Agentic AI with Enhanced Scalability, Flexibility, and Reliability

Over the past year, Microsoft developments with AutoGen have underscored the remarkable capabilities of agentic AI and multi-agent systems. Microsoft is thrilled to unveil AutoGen v0.4 , a major update shaped by invaluable feedback from our vibrant community of users and developers. This release marks a comprehensive overhaul of the AutoGen library, designed to elevate […]

1 Step to Market Research Report Generation: Designing Agentic Workflows for Complex LLM Applications

Market research report generation using large language models (LLMs) has become increasingly viable as these models continue to evolve. Learn more about LLM applications in various industries. However, orchestrating such intricate tasks requires a well-designed agentic workflow. In this blog post, we’ll explore how to design an agentic workflow with specialized agents, establish communication protocols […]

2 ways to Assessing and Evaluating LLM Outputs: Ensuring Relevance, Accuracy, and Coherence of LLMs

As large language models (LLMs) become increasingly integrated into applications, ensuring their outputs are relevant, factually accurate, and coherent is paramount. In this blog post, I’ll delve into methods for assessing these aspects of LLM outputs, discuss tools and frameworks I’ve used to evaluate performance and ensure observability, and provide code demonstrations where applicable. We’ll […]
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