This post is the .NET adaptation of the AI – How to create an AI Agent in Python post I published previously: the same Weather Agent, the same logic, the same structure but rewritten from scratch in C#. What we will cover[Environment setup]: How to create a .NET console project and configure the API key… Read More: AI – How to create an AI Agent in .NET »
In this post we will see what an AI Agent is, how to build one in Python using LangChain and GPT-4o, and how to test it with real natural language inputs.First of all, how can we define an AI Agent in Python?“An AI Agent is a Python program that uses a Large Language Model as… Read More: AI – How to create an AI Agent in Python »
In this post we will see what a Claude Skill is, how to create one and how to use it.A Skill in Claude is a specialized capability that enhances Claude’s performance in specific domains by providing detailed instructions, best practices, and context-specific guidelines. Think of it as a expert-level instruction manual that Claude consults before… Read More: AI – Claude Skill »
In this post, we will see what a server MCP is, when and why we should use it and how to create a server MCP with .NET.But first of all, what is MCP?“The Model Context Protocol is an open protocol developed by Anthropic that standardizes how applications provide context to Large Language Models (LLMs). Think… Read More: AI – Create a server MCP with .NET »
In this post, we will see what Claude Code is, how to install it and how to create a web application using Claude Code with Sub Agents.But first of all, what is Claude Code?“Claude Code is Anthropic’s command-line tool that enables developers to delegate entire coding tasks to Claude directly from the terminal. Built on… Read More: AI – Claude Code and Sub Agents »
In this post, we will see what n8n is and how to install it locally with Docker.But first of all, what is n8n?“n8n (pronounced ‘n-eight-n’) is a free and open-source workflow automation tool designed for technical users who want to build complex automations without the limitations of traditional no-code platforms. Built with a node-based approach,… Read More: AI – Installing n8n locally with Docker »
In this post, we will see how to create a specialized RAG system over SQLite database, using a table called “movies” where we will store movies information.Before we dive into the code, we have to install all the necessary dependencies: Now, let’s see how to define our RAG pipeline: [STEP 1] – Database Setup and… Read More: AI – Using Python for RAG (Part IV) over Database »
In this post, we will see how to create a specialized RAG system using a large CSV contains details of 1000 more movies, including titles, genres, descriptions, and ratings.The system will process structured CSV data, create semantic embeddings for each record, build a searchable vector index, and provide an interactive query interface based on a local… Read More: AI – Using Python for RAG (Part III) over Dataset »
In this post, we will see how to create a specialized RAG system called “Gemma3_Rag_Model”, using three foundational papers in natural language processing:“Attention Is All You Need” by Vaswani et al. (2017) – The seminal paper introducing the Transformer architecture “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” by Devlin et al. (2018) –… Read More: AI – Using Python for RAG (Part II) over PDFs »