Manage your Prompts with PROMPT01 Use "THEJOAI" Code 50% OFF
A

Alejandro AO - Software & Ai

YouTube
81
Videos
0
Followers
 
Anthropic: How to Build Multi Agent Systems

Anthropic: How to Build Multi Agent Systems

How Anthropic Built a Multi‑Agent AI Research System + Tips for Your Own! Links - Anthropic’s article: https://www.anthropic.com/engineering/built-multi-agent-research-system - Writing …
 
Local MCP Servers for Cursor (Step by step)

Local MCP Servers for Cursor (Step by step)

In this video, you'll learn how to create a custom MCP (Model Context Protocol) server in Python, mock-integrate it with …
 
LlamaExtract Tutorial: Convert PDF & Images into JSON

LlamaExtract Tutorial: Convert PDF & Images into JSON

How to Extract Structured Data from Unstructured Files Using Lama Extract (LlamaIndex) This video is a comprehensive tutorial on using …
 
Vibe Coding For Engineers (make it ACTUALLY work)

Vibe Coding For Engineers (make it ACTUALLY work)

Here is a better way to do Vibe Coding with AI IDEs like Cursor, Copilot, Tree, and Windsurf. In this …
 
How to Build an MCP Client GUI with Streamlit and FastAPI

How to Build an MCP Client GUI with Streamlit and FastAPI

In this video, you'll learn how to build a graphical user interface (GUI) for an MCP client using Streamlit in …
 
Create an MCP Client in Python - FastAPI Tutorial

Create an MCP Client in Python - FastAPI Tutorial

In this tutorial we cover how to create an MCP client in Python using FastAPI. We will take inspiration from …
 
Create MCP Clients in JavaScript - Tutorial

Create MCP Clients in JavaScript - Tutorial

In this video, we cover how to create an MCP client that can connect to any MCP server. We will …
 
Learn MCP Servers with Python (EASY)

Learn MCP Servers with Python (EASY)

In this video, I explain what an MCP server is, how it works and how to create an MCP Server …
 
Advanced RAG with LlamaIndex - Metadata Extraction [2025]

Advanced RAG with LlamaIndex - Metadata Extraction [2025]

Learn advanced Retrieval-Augmented Generation (RAG), focusing on techniques such as metadata augmentation and metadata filtering using LlamaIndex. This will help …