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    Weaviate 1.39 adds 4-bit Rotational Quantization

    Weaviate says the new 4-bit option reduces memory use while maintaining strong recall, alongside faster imports and search improvements across its Rotational Quantization family.

    Connor ShortenCS
    Weaviate AI DatabaseWA
    John TrengroveJT
    4 Sources, ,

    TLDR

    Weaviate announced 4-bit Rotational Quantization (RQ) in version 1.39 for users prioritizing lower RAM use and cost. The company says 8-bit RQ remains the default in Weaviate Cloud and now imports 16% faster. It describes its accompanying blog as covering the performance work, recall as datasets scale and comparisons with TurboQuant.

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    4 Sources, first seen 20d ago

    Combined views

    2.7K

    4 Sources, first seen 20d ago

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    20d ago
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    4 Sources

    Weaviate AI Database@weaviate_ioSmaller vectors. Faster imports. Almost no recall drama. Weaviate 1.39 adds 4-bit Rotational Quantization. It cuts memory usage while maintaining strong recall, with faster imports and search performance improvements across the RQ family. This blog covers the SIMD work behind it, how recall holds as datasets scale, and how RQ compares with TurboQuant. 8-bit RQ remains the default in Weaviate Cloud and now imports 16% faster. If reducing RAM usage and cost is the priority, 4-bit RQ is now available! Blog: https://weaviate.io/blog/4-bit-rotational-quantization?utm_source=linkedin&utm_medium=w_social&utm_campaign=RQ&utm_content=blog_annoucement_80253123720d
    Connor Shorten@CShorten30RT @weaviate_io: Smaller vectors. Faster imports. Almost no recall drama. Weaviate 1.39 adds 4-bit Rotational Quantization. It cuts memor…20d
    John Trengrove@trengrjWe added 4-bit Rotational Quantization to Weaviate recently along with major perf improvements (from new SIMD kernels and better prefetching). Have a read if you want to see how it scales and compares vs TurboQuant!20d

    4 Sources

    Weaviate AI Database@weaviate_ioSmaller vectors. Faster imports. Almost no recall drama. Weaviate 1.39 adds 4-bit Rotational Quantization. It cuts memory usage while maintaining strong recall, with faster imports and search performance improvements across the RQ family. This blog covers the SIMD work behind it, how recall holds as datasets scale, and how RQ compares with TurboQuant. 8-bit RQ remains the default in Weaviate Cloud and now imports 16% faster. If reducing RAM usage and cost is the priority, 4-bit RQ is now available! Blog: https://weaviate.io/blog/4-bit-rotational-quantization?utm_source=linkedin&utm_medium=w_social&utm_campaign=RQ&utm_content=blog_annoucement_80253123720d
    Connor Shorten@CShorten30RT @weaviate_io: Smaller vectors. Faster imports. Almost no recall drama. Weaviate 1.39 adds 4-bit Rotational Quantization. It cuts memor…20d
    John Trengrove@trengrjWe added 4-bit Rotational Quantization to Weaviate recently along with major perf improvements (from new SIMD kernels and better prefetching). Have a read if you want to see how it scales and compares vs TurboQuant!20d

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