Senthilnathan S

LangGraph agent framework

🌐 LangGraph Agent Framework: The Future of Multi-Agent AI Systems

Published by TechToGeek.com 🚀 Introduction Artificial Intelligence is moving from simple linear prompts to complex agentic workflows, where multiple intelligent components collaborate, reason, and take actions. At the center of this new frontier stands the LangGraph agent framework, a powerful open-source graph-based system that enables developers to design scalable, modular, and stateful AI agents. Unlike…

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Nifty weekly performance analysis

Nifty Weekly Performance Analysis Using CrewAI-MCP Tool

Published by TechToGeek.com 1. Introduction Nifty weekly performance analysis, and the Indian stock market continues to evolve rapidly, and with the rise of AI-powered tools, traders now have more accessible ways to uncover patterns and improve their strategies. In this article, we will perform a detailed Nifty weekly performance analysis using the powerful CrewAI-MCP Tool,…

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📊 CrewAI with MCP Tool: Analyzing Nifty 50’s Day-wise Overnight Performance

Published by TechToGeek.com 🌅 Introduction Market data is more than numbers — it’s the story of trader behavior, risk appetite, and timing. In this post, we explore Nifty 50’s overnight performance day-by-day using a Python analysis script generated with help from Claude, our AI assistant. The project merges data science and Agentic AI thinking, where…

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🤖 CrewAI with MCP Tool: Build an Agentic AI Weather Assistant Using Python

Published by TechToGeek.com 🌤️ Introduction Artificial Intelligence is entering a new era — one where AI models no longer just respond to prompts, but actually take intelligent actions. This is the world of Agentic AI, where systems can connect to tools, perform tasks, and generate meaningful results autonomously. In this blog, we’ll dive deep into…

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🧠 PydanticAI with MCP Tool: Build an Agentic AI Weather Assistant in Python,is the weather good or bad?

Published by TechToGeek.com 🌤️ Introduction Artificial Intelligence is rapidly evolving beyond simple chatbot responses — it’s becoming agentic, meaning the AI can act intelligently on external tools, APIs, and data sources.Today, let’s explore a fascinating project: an Agentic AI Weather Assistant built using PydanticAI with MCP tool. This Python-based AI application fetches live weather data…

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🌦️ MCP and Claude Desktop:Building an Agentic AI Weather Assistant,Is the weather good or bad?

Published by TechToGeek.com In the era of intelligent automation, Agentic AI tools are redefining how we interact with information. One of the most fascinating frameworks emerging in this space is MCP and Claude Desktop — a modular architecture that allows developers to connect AI models with real-world tools and APIs seamlessly. Recently, I built a…

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Prompt Engg

Mastering Prompt Engineering: Understanding 3 things:PromptTemplate, Zero-Shot, and Few-Shot Prompting

In today’s rapidly evolving world of AI and Large Language Models (LLMs), the term “Prompt Engineering” has become one of the hottest topics. Whether you’re working with OpenAI, Anthropic, or Llama-based models, crafting the right prompts determines how “intelligently” your model responds. Recently, while experimenting with LlamaIndex, I explored the concepts of PromptTemplate, Zero-Shot Prompting,…

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OrionRAG

🧠 OrionRAG – The Future Agentic RAG Chatbots Built with CrewAI and LlamaIndex

🚀 Introduction: What Is OrionRAG? In today’s AI-driven era, chatbots are evolving beyond static question–answer systems. The next big leap is Agentic RAG Chatbots, where retrieval and reasoning meet autonomy and intelligence. OrionRAG is one such innovation — an Agentic RAG Chatbot that blends the power of CrewAI, LlamaIndex, and Streamlit into a seamless, reasoning-capable…

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