Thanks!
-- Frederic Font - ffont.github.io Music Technology Group, UPF - mtg.upf.edu <https://www.upf.edu/web/mtg/> Freesound - freesound.org On Mon, 29 Jan 2024 at 11:50, Alessandro Benedetti <a.benede...@sease.io> wrote: > This class is probably your best bet: > org.apache.lucene.index.VectorSimilarityFunction > From here you can explore the java code used to calculate the vector > similarities in Apache Solr. > > 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 > > Website: Sease.io <http://sease.io/> > LinkedIn <https://linkedin.com/company/sease-ltd> | Twitter > <https://twitter.com/seaseltd> | Youtube > <https://www.youtube.com/channel/UCDx86ZKLYNpI3gzMercM7BQ> | Github > <https://github.com/seaseltd> > > > On Sat, 27 Jan 2024 at 11:04, Frederic Font Corbera <frederic.f...@upf.edu > > > wrote: > > > Nevermind, I guess Solr computes cosine similarity and not cosine > distance, > > and the returned score is probably the cosine similarity value. > > > > Cheers, > > > > frederic > > > > > > -- > > Frederic Font - ffont.github.io > > Music Technology Group, UPF - mtg.upf.edu <https://www.upf.edu/web/mtg/> > > Freesound - freesound.org > > > > > > > > El ds, 27 gen. 2024 a les 11:57 Frederic Font Corbera < > > frederic.f...@upf.edu> > > va escriure: > > > > > Hi everyone, > > > > > > I successfully added dense vector search to my Solr-based app, but I’d > > > like to compare the results with other nn-search solutions and for that > > > reason it would be good to have access to the actual distance values > > > computer by Solr. This does not seem to be possible and I can only > access > > > the resulting “score”. That score is of course related to the distance > > > metric but I could not find information about how this relation works. > In > > > fact, cosine distance is, well, a distance metric (big > values=dissimilar > > > items), but the returned score is a “similarity” metric (big > > values=similar > > > items). So how does Solr transform the distance metric to a similarity > > > metric? Is this documented somewhere? > > > > > > Thanks a lot! > > > > > > frederic > > > > > > > > > -- > > > Frederic Font - ffont.github.io > > > Music Technology Group, UPF - mtg.upf.edu < > https://www.upf.edu/web/mtg/> > > > Freesound - freesound.org > > > > > > > > >
