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RAGKit with Kyle Davis - Weaviate Podcast #93!

Weaviate Podcast

CHAPTER

Enhancing Search Relevance with Re-ranking Strategies

The chapter explores strategies for re-ranking search results to improve relevance, focusing on methods like document perplexity and heuristics. It discusses the use of cross encoders and list-wise re-rankers in natural language processing, including the challenges and effectiveness of models like GPT4. Additionally, the conversation touches on incorporating metadata, user features, and persona-based recommendation systems into search algorithms for better user experience and results.

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