Hi Alessandro, Thank you, I will look forward to those features.
On Fri, May 26, 2023 at 12:10 PM Alessandro Benedetti <[email protected]> wrote: > Hi Rajani, > the issues you mentioned are very old and superseded by more recent works > in the vector-based search domain. > The 'knn' query parser that Kumar detailed is the official way of doing > vector search in Solr. > Function queries for vector similarities and the possibility of better > Hybrid search with Learning To Rank and vector-similarity features are > coming soon! > > Some blogs that could help: > - https://sease.io/2023/01/apache-solr-neural-search-tutorial.html > - https://sease.io/2022/01/apache-solr-neural-search.html > - https://sease.io/2022/01/apache-solr-neural-search-knn-benchmark.html > > Cheers > > -------------------------- > *Alessandro Benedetti* > Director @ Sease Ltd. > *Apache Lucene/Solr Committer* > *Apache Solr PMC Member* > > e-mail: [email protected] > > > *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 Thu, 25 May 2023 at 22:12, rajani m <[email protected]> wrote: > > > That also invokes knn, correct? I just need the vector math response, a > > cosine value of the query vector and document vector. For example, the > > streaming api endpoint vector-math.html#dot-product-and-cosine-similarity > > < > > > https://solr.apache.org/guide/7_5/vector-math.html#dot-product-and-cosine-similarity > > > > > looks like one however it is a streaming api, it would have been nice if > > this was also supported by standard query parser or a function query. > > > > > > > > On Thu, May 25, 2023 at 3:34 PM kumar gaurav <[email protected]> wrote: > > > > > HI Rajani > > > > > > Read here : > > > > > > > > > https://solr.apache.org/guide/solr/latest/query-guide/dense-vector-search.html > > > > > > The knn query parser can be used . > > > > > > &q={!knn f=vector topK=10}[1.0, 2.0, 3.0, 4.0] > > > > > > > > > Thanks > > > Kumar Gaurav > > > > > > > > > > > > On Fri, 26 May 2023 at 00:14, Rajani Maski <[email protected]> > > wrote: > > > > > > > Hi Solr Users, > > > > > > > > Is there a vector search parser that allows computing distance > > > between a > > > > document's vector field and query vector passed as query param? The > > > jiras > > > > SOLR-14397 <https://issues.apache.org/jira/browse/SOLR-14397> > > > SOLR-12890 > > > > <https://issues.apache.org/jira/browse/SOLR-12890> suggests vector > > > search > > > > parser "!vp" and the other "cosine" as functions but I couldn't get > it > > to > > > > work on solr 9.1.1 version, is this supported yet, one of the jira > > state > > > is > > > > still "open"? > > > > > > > > What are other alternatives to calculate cosine between vector fields > > in > > > > solr vs query vector sent as query param? > > > > > > > > > > > > Thanks, > > > > Rajani > > > > > > > > > >
