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The Future of Search with Nils Reimers and Erika Cardenas - Weaviate Podcast #97!

Weaviate Podcast

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Optimizing Vector Databases with Quantization Methods

Exploring the utilization of quantization directly in model training to enhance vector search efficiency and reduce memory costs, encompassing discussions on float to int8 transition, binary embeddings, and challenges faced by popular systems like Elasticsearch and Lucene.

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