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The Future of Search with Nils Reimers and Erika Cardenas - Weaviate Podcast #97!
Weaviate Podcast
Optimizing Search with Rerank over Embeddings
Investing in rerank over embeddings has shown significant improvements in addressing challenges related to fine-grained semantics, positions, and numerical search. Rerank excels in handling semi-structured data like JSON, which contains multiple fields such as title, cast, production company, and synopsis. This approach outperforms embeddings, especially in scenarios where blending diminishes search nuances, making everything appear similar. By leveraging rerank with a sufficient number of documents, the system can disentangle the nuances and produce highly accurate results.
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