While setting up a naive RAG stack is straightforward, addressing a long tail of quality, evaluation and scalability challenges is essential for software engineers to render their applications production-ready.

​This multi-part workshop series will guide you through using LlamaIndex and Ray to implement reliable and scalable RAG.

​You’ll learn how to build RAG and approach scalability challenges, design experiments to optimize key application components and utilize scalable workflows to quantitatively compare them.

Part 1:
– Learn about LlamaIndex + Ray, and how to setup a RAG stack with the two technologies

In the next lessons we’ll dive into evals and optimization.

​Instructors:
Simon (co-founder/CTO, LlamaIndex)
​Adam (Technical Trainer, Anyscale)

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