Thank you all. On Wed, Jan 24, 2024 at 8:46 AM Eric Pugh <ep...@opensourceconnections.com> wrote:
> I’ll echo what Alessandro has said that there is a lot of ideas out there, > but we need someone to really push it all forward and make “it real”. > > You may be interested in https://github.com/apache/solr/pull/1999 > > It demos using Solr’s file store api to push a model out to a Solr node, > where upon it deploys around the cluster! It has some awkwardness in it, > so it needs work, but it’s a nice example of the pieces starting to > appear... > > Eric > > > > On Jan 24, 2024, at 5:02 AM, Alessandro Benedetti <a.benede...@sease.io> > wrote: > > > > Hi Ufuk, Rajani, > > I think Rajani meant sentence transformer models i.e. large language > models > > fine-tuned for sentence similarity and capable of encoding text to > vectors > > (potentially with multi-modality). > > The streaming expression pointers you listed refer to > > regression/classification machine learning models :) > > > > To answer Rajani, there's no official 'roadmap' in Apache Solr. > > As a project, Apache Solr is driven by the PMC (I am part of it) on a > > volunteer basis. > > > > Then there are team's and individual contributors' roadmaps, take it as > the > > list of ideas and code a single contributor or team, would like to > > contribute. > > This will need to be peer-reviewed and in general, even if it's on the > > roadmap of an individual committer, you can't just push it (I mean, > > technically you can, but if it's crazy stuff it's likely going to be > > removed). > > > > Aside from that, the integrations you mentioned are on my team roadmap: > > > https://sease.io/2023/10/apache-lucene-solr-ai-roadmap-do-you-want-to-make-it-happen.html > > But at the moment we are waiting for sponsors to make it happen. > > > > 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 Wed, 24 Jan 2024 at 08:19, uyil...@vivaldi.net.INVALID > > <uyil...@vivaldi.net.invalid> wrote: > > > >> There's a way to produce, use and store them but it only supports a > fixed > >> format: > >> > >> https://solr.apache.org/guide/8_5/stream-source-reference.html#model > >> https://solr.apache.org/guide/8_5/stream-source-reference.html#train > >> > https://solr.apache.org/guide/8_5/stream-decorator-reference.html#classify > >> > >> maybe it can be used if your model is possible to be expressed in the > >> given format > >> > >> > >> -ufuk yilmaz > >> ________________________________ > >> From: rajani m <rajinima...@gmail.com> > >> Sent: Wednesday, January 24, 2024 12:37 AM > >> To: solr-user <solr-u...@lucene.apache.org> > >> Subject: ML Model Management in Solr > >> > >> Hi All, > >> > >> Is it in the road map to support trained ML model deployment in solr? > >> Models that can be deployed to generate text embedding at ingest time > and > >> query embeddings at query time. > >> > >> Thanks, > >> Rajani > >> > > _______________________ > Eric Pugh | Founder & CEO | OpenSource Connections, LLC | 434.466.1467 | > http://www.opensourceconnections.com < > http://www.opensourceconnections.com/> | My Free/Busy < > http://tinyurl.com/eric-cal> > Co-Author: Apache Solr Enterprise Search Server, 3rd Ed < > https://www.packtpub.com/big-data-and-business-intelligence/apache-solr-enterprise-search-server-third-edition-raw> > > This e-mail and all contents, including attachments, is considered to be > Company Confidential unless explicitly stated otherwise, regardless of > whether attachments are marked as such. > >
