Re: Custom Query Implementation

Hi, have you tried to encode the sparse vector yourself using the
BinaryDocValueField? One way I can think of is to encode it as (size,
index_array, value_array) per doc
Intuitively I feel like this should be more efficient than one dimension
per field if your dimension is high enough

Patrick

On Mon, Dec 2, 2024, 09:03 Viacheslav Dobrynin <[email protected]> wrote:

> Hi!
>
> I need to index sparse vectors, whereas as I understand it,
> KnnFloatVectorField is designed for dense vectors.
> Therefore, it seems that this approach will not work.
>
> вс, 1 дек. 2024 г. в 18:36, Mikhail Khludnev <[email protected]>:
>
> > Hi,
> > May it look like KnnFloatVectorField(... DOT_PRODUCT)
> > and KnnFloatVectorQuery?
> >
>