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Ready to build powerful, next-generation AI applications with a modern JavaScript stack? Join host Jesse and special guest Shane Thomas, co-founder of Mastra.ai, as they dive into the open-source AI agent framework built by the minds behind Gatsby.

In this deep-dive tutorial, you'll discover how Mastra simplifies building and deploying AI agents by providing high-level primitives like agents and workflows on top of the Vercel AI SDK. We'll start by scaffolding a new Mastra project and exploring its built-in development playground. Then, we'll take it to the next level by building a complete Retrieval-Augmented Generation (RAG) application that uses MongoDB Vector Search to query a database of thousands of movies.

Whether you're new to AI agents or a seasoned developer, you'll learn how to leverage Mastra and MongoDB to create sophisticated, context-aware AI assistants with ease.

Chapters:
00:00:00 - Introduction
00:00:40 - Meet Shane Thomas & Mastra.ai
00:02:26 - The Origin Story of Mastra.ai
00:05:04 - How Mastra.ai Uses the Vercel AI SDK
00:06:45 - Core Concepts: Agents, Memory & RAG
00:07:49 - Understanding Workflows
00:13:54 - Mastra Ops: Tracing & Debugging
00:15:05 - Demo: Getting Started with Mastra.ai
00:43:51 - Demo: Building a RAG App with MongoDB
00:51:51 - Code Deep Dive: The Movie RAG Tool
00:55:38 - Final Demo: Testing the Movie Search Agent
00:58:58 - Final Words & What's Next for Mastra.ai

#MongoDB #TypeScript #AI

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