Zilliz Webinar -Zoom

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About this session

There’s an entire set of choices that you can try to improve your retrieval augmented generation (RAG) system such as the embedding model, retrieval strategy and more. But how do you know what works and what doesn’t? You need to have evaluation built into your RAG. This talk shows you how to iterate across these choices to find the best performing RAG using TruLens – all on top of a Milvus vector store.

Topics covered :

• What is RAG?
• How does it work?
• How can you evaluate your RAG results?

Meet the Speaker

Josh Reini

Developer Advocate at TrueEra

Josh is a core contributor to open-source TruLens and the founding Developer Relations Data Scientist at TruEra where he is responsible for education initiatives and nurturing a thriving community of practitioners excited about AI quality. Josh has delivered tech talks and workshops to more than a thousand developers at events including the Global AI Conference 2023, NYC Dev Day 2023, LLMs and the Generative AI Revolution 2023, AI developer meetups and the AI Quality Workshop (both in live format and on-demand through Udemy). Prior to TruEra, Josh delivered end-to-end data and machine learning and solutions to clients including the Department of State and the Walter Reed National Military Medical Center