tessera-embeddings 0.1.0

Multi-paradigm embedding library: ColBERT, dense, sparse, vision-language, and time series models

tessera-embeddings

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 7 feature flags, 2 of them enabled by default.

default

pdf (default)

pdf2image (default)

cuda

metal

python

timeseries

This feature flag does not enable additional features.

wasm

This feature flag does not enable additional features.