Alejandro AO

Learn how to create a multi-agent deep research pipeline that uses smolagents, Firecrawl, and open models to scrape and research the web.

Learn how to implement authentication for your remote Model Context Protocol (MCP) server using OAuth 2.1.

Learn how to create and deploy a remote Model Context Protocol (MCP) server. This guide will show you how to expose your tools and resources to any AI assistant, whether it’s a local model or a hosted service like OpenAI.

In this lesson, we will go through an introduction of LlamaIndex. We will see what you can do with it, how it deals with RAG and its main components. We will then implement a RAG pipeline with their famous 5-liner, which allows you to chat with your data in 5 lines of code. This tutorial is based on the original LlamaIndex documentation.

In this tutorial, we use Exa and CrewAI to build a team of AI research agents who, given any topic, can perform the following tasks for us: research and summarize the latest news on the given topic, verify that the sources are correct and that the articles are relevant to the selected topic, compile the top stories into a newsletter using an HTML template.