h2oai / h2oai/datatable

Consider adding support for embeddings

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Description

- New parametric data type: `float32[N]`, and possibly `float16[N]`. The data type is a plain array of `N` floats.
- Supported operations:
- create from a plain list of python floats;
- create from a list of N regular columns (which could also be numpy arrays);
- dot-product;
- cosine-similarity;
- euclidian/manhattan distance;
- jacard similarity;
- others.

The LLMs are in fashion now, so why not add a support for them?

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