How I used Mastra to build a prize-winning RAG agent

A developer successfully built a prize-winning RAG agent using Mastra, an open-source TypeScript framework for AI applications, during a two-week hackathon. The agent allows users to ask questions about video transcript collections in natural language and provides timestamped responses with source citations. Using advanced retrieval techniques combining semantic search with PostgreSQL full-text search, the system processes YouTube transcripts by chunking them with rich metadata and embedding them into a vector database for accurate question-answering capabilities.