Optimizing LLM Retrieval Strategies with Arize AI & Qdrant

  April 17th, 2024

  9:00am PST – 10:00am PST


Mark your calendars for an engaging virtual workshop brought to you by Qdrant and Arize AI. This session will dive deep into the nuanced world of retrieval debugging, spotlighting the distinct approaches and benefits of using hybrid versus dense strategies within the realm of Retrieval-Augmented Generation (RAG) pipelines. 

Participants will enjoy a hands-on coding session designed to provide a holistic understanding of how to optimize retrieval debugging processes effectively with cutting-edge LLM application building and observability tools.

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Mikyo King
Head of Open Source, Arize AI

Atita Arora
Solution Architect / Developer Relations Manager, Qdrant

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