[jira] [Comment Edited] (SOLR-12890) Vector Search in Solr (Umbrella Issue)

["Doug Turnbull (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SOLR-12890?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16948902#comment-16948902 ] 

Doug Turnbull edited comment on SOLR-12890 at 10/10/19 7:36 PM:
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Open Distro for Elasticsearch is said to be working on ANN approach with a new Lucene codec (a new codec built for ANN may be the ultimate solution) [https://opendistro.github.io/for-elasticsearch/features/comingsoon.html]


was (Author: softwaredoug):
Open Distro for Elasticsearch is said to be working on ANN approach with a new Lucene codec (which may be the ultimate solution) https://opendistro.github.io/for-elasticsearch/features/comingsoon.html

> Vector Search in Solr (Umbrella Issue)
> --------------------------------------
>
>                 Key: SOLR-12890
>                 URL: https://issues.apache.org/jira/browse/SOLR-12890
>             Project: Solr
>          Issue Type: New Feature
>            Reporter: mosh
>            Priority: Major
>
> We have recently come across a need to index documents containing vectors using solr, and have even worked on a small POC. We used an URP to calculate the LSH(we chose to use the superbit algorithm, but the code is designed in a way the algorithm picked can be easily chagned), and stored the vector in either sparse or dense forms, in a binary field.
> Perhaps an addition of an LSH URP in conjunction with a query parser that uses the same properties to calculate LSH(or maybe ktree, or some other algorithm all together) should be considered as a Solr feature?



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