Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 📐
The 79300f45bdae1088640a1eb925a93be769d7c3ec commit exposes kernels for the L2 Euclidean metric, extending beyond the previously available L2sq - the squared Euclidean distance. It may be useful to expose the new interface in the Swift SDK.
Can you contribute to the implementation?
[X] I can contribute
Is your feature request specific to a certain interface?
Other bindings
Contact Details
No response
Is there an existing issue for this?
[X] I have searched the existing issues
Code of Conduct
[X] I agree to follow this project's Code of Conduct
Describe what you are looking for
The 79300f45bdae1088640a1eb925a93be769d7c3ec commit exposes kernels for the L2 Euclidean metric, extending beyond the previously available L2sq - the squared Euclidean distance. It may be useful to expose the new interface in the Swift SDK.
Can you contribute to the implementation?
Is your feature request specific to a certain interface?
Other bindings
Contact Details
No response
Is there an existing issue for this?
Code of Conduct