http://gothub.r4focoma7gu2zdwwcjjad47ysxt634lg73sxmdbkdozanwqslho5ohyd.onion/unum-cloud/usearch
This flexibility allows you to customize your search for various applications, from computing geospatial coordinates with the rare Haversine distance to creating custom metrics for composite embeddings from multiple AI models, like joint image-text embeddings.
You can use Numba , Cppyy , or PeachPy to define your custom metric even in Python : from numba import cfunc , types , carray from usearch . index import Index , MetricKind , MetricSignature , CompiledMetric @ cfunc ( types . float32...