I tried my best in the previous thread to set a plan of action to decide
what should be done with that limit, I tried to summarise the possible next
steps multiple times, but the discussion steered into other directions
(fierce opposition, benchmarking, etc, etc).

I created a new thread:
"Dimensions Limit for KNN vectors - Next Steps"

Just to collect the possible options we have and then vote.

Let's see how it goes.

Cheers
--------------------------
*Alessandro Benedetti*
Director @ Sease Ltd.
*Apache Lucene/Solr Committer*
*Apache Solr PMC Member*

e-mail: a.benede...@sease.io


*Sease* - Information Retrieval Applied
Consulting | Training | Open Source

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On Sat, 6 May 2023 at 21:44, Michael Wechner <michael.wech...@wyona.com>
wrote:

> there is already a pull request for Elasticsearch which is also
> mentioning the max size 1024
>
> https://github.com/openai/chatgpt-retrieval-plugin/pull/83
>
>
>
> Am 06.05.23 um 19:00 schrieb Michael Wechner:
> > Hi Together
> >
> > I recently setup ChatGPT retrieval plugin locally
> >
> > https://github.com/openai/chatgpt-retrieval-plugin
> >
> > I think it would be nice to consider to submit a Lucene implementation
> > for this plugin
> >
> > https://github.com/openai/chatgpt-retrieval-plugin#future-directions
> >
> > The plugin is using by default OpenAI's model "text-embedding-ada-002"
> > with 1536 dimensions
> >
> > https://openai.com/blog/new-and-improved-embedding-model
> >
> > but which means one won't be able to use it out-of-the-box with Lucene.
> >
> > Similar request here
> >
> >
> https://learn.microsoft.com/en-us/answers/questions/1192796/open-ai-text-embedding-dimensions
> >
> >
> > I understand we just recently had a lenghty discussion about
> > increasing the max dimension and whatever one thinks of OpenAI, fact
> > is, that it has a huge impact and I think it would be nice that Lucene
> > could be part of this "revolution". All we have to do is increase the
> > limit from 1024 to 1536 or even 2048 for example.
> >
> > Since the performace seems to be linear with the vector dimension and
> > several members have done performance tests successfully and 1024
> > seems to have been chosen as max dimension quite arbitrarily in the
> > first place, I think it should not be a problem to increase the max
> > dimension by a factor 1.5 or 2.
> >
> > WDYT?
> >
> > Thanks
> >
> > Michael
> >
> >
> >
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