RagSys: RAG is just RecSys in Disguise // Chang She // AI in Production Lightning Talk
Brought to you by our Premium Brand Partner @LanceDB
// Abstract
What once was old is new again. With increasing experience in Retrieval Augmented Generation (RAG), more attention is being directed towards improving retrieval quality. The evolution of RAG pipelines is resembling recommender pipelines, incorporating features such as hybrid search and reranking. This lightning talk will briefly examine the parallels between the two approaches and demonstrate how to implement hybrid reranking with LanceDB to enhance retrieval quality.
//Bio
Chang is the CEO and Co-founder of LanceDB, the Database for AI. Chang was one of the original coauthors of Pandas and has been building tools for data science and machine learning for almost two decades. Most recently he was VP of Eng at TubiTV where he focused on personalized recommendations and ML experimentation.
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