Weaviate 1.39 新增 4-bit 旋转量化，降低内存占用
Smaller vectors. Faster imports. Almost no recall drama. Weaviate 1.39 adds 4-bit Rotational Quanti...
Weaviate 新版本升级了 4-bit 旋转量化，能帮你节省内存，还更快导入数据，比之前版本好。
Weaviate 1.39 版本新增 4-bit 旋转量化技术，在保持高检索准确率的同时，大幅减少向量存储所需的内存，并提升导入和搜索速度。8-bit 旋转量化仍为 Weaviate Cloud 的默认设置，但导入速度提升了 16%。
Smaller vectors. Faster imports. Almost no recall drama. Weaviate 1.39 adds 4-bit Rotational Quanti...
Smaller 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: weaviate.io/blog/4-bit-rot… 💬 1 🔄 0 ❤️ 2 👀 120 📊 1 ⚡