
Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39
Data Brew by Databricks
Intro
This chapter introduces Retrieval Augmented Generation (RAG) and discusses its significance in improving language models. The speakers also highlight challenges in RAG implementation, specifically regarding document embedding and chunking, paving the way for further exploration of effective techniques in data and AI applications.
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