Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39
Data Brew by Databricks
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Enhancing Retrieval with Embedding Techniques
This chapter focuses on advanced embedding model training techniques, particularly in unclear documentation contexts. It emphasizes the benefits of fine-tuning for improved retrieval outcomes and discusses the effectiveness of traditional methods like BM25 in conjunction with modern neural methods. Additionally, the chapter explores the impact of retrieval-augmented generation on search capabilities, highlighting strategies for re-ranking and the optimization of model performance in coding environments.
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