I wonder if you could influence the graph search by incorporating the
partition key (customer id?) to the vectors somehow? If this was done
well it should lead to a natural clustering of the graph.

On Mon, Jun 2, 2025 at 11:32 AM Ravikumar Govindarajan
<ravikumar.govindara...@gmail.com> wrote:
>
> Hi Michael,
>
> The docs range could vary in extremes  from few 10s to tens-of-thousands
> and in very heavy usage cases, 100k and above… in a single segment
>
> Filtered Hnsw like you said uses a single graph.., which could be better if
> designed as sub-graphs
>
> On Mon, 2 Jun 2025 at 5:42 PM, Michael Sokolov <msoko...@gmail.com> wrote:
>
> > How many documents do you anticipate in a typical sub range? If it's in the
> > hundreds or even low thousands you would be better off without hnsw.
> > Instead you can use a function score query based on the vector distance.
> > For larger numbers where hnsw becomes useful, you could try using filtered
> > hnsw, but this will be using a single graph constructed from all of the
> > documents.
> >
> > On Mon, Jun 2, 2025, 5:25 AM Ravikumar Govindarajan <
> > ravikumar.govindara...@gmail.com> wrote:
> >
> > > We use index-sorting to arrange segment data. The ord-ranges for any
> > given
> > > KnnVectorField is mutually exclusive
> > >
> > > Ex:
> > > field: content
> > >
> > > OrdRange -> 0-100 (User1)
> > > OrdRange -> 101-300 (User2)
> > > and so on..
> > >
> > > Each OrdRange has to be a self-contained Hnsw graph with all neighbours
> > > strictly inside the given OrdRange. A sub-graph, to be precise.. The
> > > generated segment will contain a lot of these sub-graphs but without any
> > > neighbour links to each other at Level-0.  Level-1 and above can have
> > > cross-links, which should be fine..
> > >
> > > Searches will be based on OrdRange and should stop once the sub-graph is
> > > fully explored and not cross over to other sub-graphs..
> > >
> > > I can index them as different fields but it could run into a few hundreds
> > > (if not thousands).
> > >
> > > Are there any strategies I can adopt to accomplish this? Can a custom
> > > VectorScoringFunction solve this? (Like -> assign actual score, if ords
> > are
> > > in range. Assign 0, if out-of-range etc..)
> > >
> > > Is this the correct way of looking at the problem?
> > >
> > > Any help is much appreciated
> > >
> > > Regards,
> > > Ravi
> > >
> >

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