Discover how to build a scalable, real-time document processing pipeline that transforms PDFs, reports, and contracts into searchable, enriched data. Learn how LlamaParse powers intelligent parsing and chunking, while MongoDB enables flexible storage, indexing, and vector search. ...

Overview - Mastra.ai is a TypeScript framework designed to streamline the development of agentic AI systems, offering an alternative to traditional approaches using LangChain and vector databases [1] - The workshop aims to equip participants with the skills to develop scalable AI-driven internal tools based on sound software engineering principles [1] Technical Aspects - Participants will learn to build structured AI workflows with composable tools and reliable control [1] - The session covers Mastra installation, running a local MCP server, defining tools and agents in TypeScript, and using the Mastra playground [1] - Practical examples include RAG setups and tool-chaining agents [1] Application - The framework enables the creation of internal AI assistants capable of handling requests like data cleaning, email drafting, and document summarization with minimal code [1] Speakers - Nick Nisi is an elite software engineer with expertise in open source web development [1] - Zachary Proser builds AI systems and shares his learnings through sample applications, technical guides, and real-world lessons [1]