Not at the moment :-)
I am using Lucene's vector search for https://ukatie.com to detect
duplicated questions, whereas I am currently refactoring it, such that
you can connect Katie with your own similarity search implementation,
whereas I have done a very first prototype of a connector for
Fair enough - are you planning to offer such a service;) sounds exciting!
-Mike
On Tue, Feb 15, 2022 at 6:00 PM Michael Wechner
wrote:
> true :-) when you are the one controlling the input of vectors, then a
> method to disable the maximum limit would be sufficient.
>
> But I could imagine
true :-) when you are the one controlling the input of vectors, then a
method to disable the maximum limit would be sufficient.
But I could imagine when you offer Lucene as a service where people can
for example configure their own "sentence embedding models" and you
would like to offer a
I don't think it makes sense to have a static variable maximum that you can
change by calling a method. What purpose would it serve?
On Tue, Feb 15, 2022, 2:39 PM Michael Wechner
wrote:
> Hi Alessandro
>
> No, I have not created a Jira ticket, but I would be happy to create one,
> just let me
Hi Alessandro
No, I have not created a Jira ticket, but I would be happy to create
one, just let me know or please feel free to create one.
I understand the concerns about the limits in general and I think it
makes sense to have a default max dimensions limit, but I could imagine
it needs
Hi Michael,
let's create a Jira ticket to use a higher value(if you haven't already).
I would be happy to consider the patch/or do it myself but after 10/03.
Once the pull request is ready (including the Javadoc documentation that
clearly states that if you go above X it's at your own risk), we'll
Hi
I just tried to test the OpenAI model "text-similarity-davinci-001" with
12288 dimensions and receive the following error
java.lang.IllegalArgumentException: vector numDimensions must be <=
VectorValues.MAX_DIMENSIONS (=1024); got 12288
at
