Retrieval Augmented Generation (RAG) has become essential for building AI applications that can effectively leverage your data. In this hands-on workshop, you'll learn how to build sophisticated RAG systems that go beyond basic implementations.

Learn the proven techniques that make RAG systems reliable and effective, including optimal chunking strategies, modern retrieval methods, and hybrid search approaches that combine the best of semantic and keyword search. Join Mastra.ai to understand the architectural decisions that can make or break your RAG application's performance.

You'll get hands-on experience implementing:

Evaluating when RAG is needed vs. when context windows suffice

Advanced document chunking strategies for different content types

Sophisticated semantic search and embedding techniques

Hybrid retrieval systems combining keyword and semantic search

Re-ranking strategies to improve result relevance

Performance optimization techniques for production environments

This workshop is ideal for developers and AI engineers who want to build more sophisticated RAG applications. Participants should have familiarity with JavaScript and understand fundamental RAG concepts. Come prepared with a code editor—you'll leave with working implementations of advanced RAG components that you can integrate into your projects.

Move beyond basic RAG implementations and learn how to build systems that can handle real-world complexity. Join us for this practical session where you'll implement production-ready RAG solutions using proven architectural patterns.