Are you a Lucene or a Solr user? I assumed the latter. In Apache Solr It's not only not released yet, it's not implemented yet.
There's no official roadmap in Apache Solr no there's no release date for that functionality. That feature is among the ones I and my company want to contribute but we lack funding at the moment ( https://sease.io/2023/10/apache-lucene-solr-ai-roadmap-do-you-want-to-make-it-happen.html ). Of course, you are also welcome to contribute it yourself, as a community we welcome new contributors. 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 Tue, 2 Jan 2024 at 11:20, Iram Tariq <iram.ta...@northbaysolutions.net> wrote: > Hi, > > What Mikhail mentioned is the answer to all my questions but sadly it is > not released yet. Is there any way I can use this unreleased version for > now or when it is going to be released ? > > and yes I want to rescore all topK results based on recency. > > Regards, > > > Iram Tariq | Software Architect > > NorthBay > > Direct: +1 (902) 329-7329 > > iram.ta...@northbaysolutions.net > > www.northbaysolutions.com > > > > > On Tue, Jan 2, 2024 at 5:50 AM Alessandro Benedetti <a.benede...@sease.io> > wrote: > > > Hi Iram, following up on Mikhail's answer: > > > > 1) K Nearest Neighbour is a retrieval approach intended to look for the > > closest(approximate) K vectors to a query one. > > "override the existing function or write a > > custom method to give a high score to the latest documents" > > It seems suspicious to me. > > It's like you want to combine two features for the final score: > > > > - Vector Similarity > > - Recency > > > > As you can imagine a first question arises: > > How do you want to combine these features? > > Linearly? Non linearly? Do you want to re-score the top-k calculating > this > > recency? > > Learning To Rank ( > > > https://solr.apache.org/guide/solr/latest/query-guide/learning-to-rank.html > > ) > > or general reranking( > > > https://solr.apache.org/guide/solr/latest/query-guide/query-re-ranking.html > > ) > > could be what you want. > > Please make sure you are familiar with function queries as well ( > > > https://solr.apache.org/guide/solr/latest/query-guide/function-queries.html > > ) > > > > 2) The pull request mentioned by Mikhail is on the spot, but it has not > > been ported to Apache Solr yet. > > Technically, it is going to be useful, but from a pragmatic perspective, > I > > am much more sceptical: > > With current models, finding a threshold won't be easy at all. > > > > 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 Mon, 25 Dec 2023 at 22:55, Iram Tariq < > iram.ta...@northbaysolutions.net > > > > > wrote: > > > > > Hi All, > > > > > > Right now I am using the cosine similarity function for dense vectors. > > > Is there any way I can override the existing function or write a > > > custom method to give a high score to the latest documents. > > > > > > > > > Also KNN Query Parser returns topK results matched with the input, but > is > > > there anyway possible we can get all documents for which similarity > score > > > is greater than a specific number? > > > > > > Any sort of answer will be helpful. Looking forward for the feedback. > > > > > > Regards, > > > > > > > > > Iram Tariq | Software Architect > > > > > > NorthBay > > > > > > Direct: +1 (902) 329-7329 > > > > > > iram.ta...@northbaysolutions.net > > > > > > www.northbaysolutions.com > > > > > >
