I’ve been looking at directly storing feature vectors and providing scoring/filtering support.
This is for vectors consisting of (typically 300 - 2048) floats or doubles. It’s following the same pattern as geospatial support - so a new field type and query/parser, plus plumbing to hook it into Solr. Before I go much further, is there anything like this already done, or in the works? Thanks, — Ken > On Feb 26, 2018, at 4:24 PM, Luís Filipe Nassif <lfcnas...@gmail.com> wrote: > > Thank you, Adrian. > > Em 26 de fev de 2018 21:19, "Adrien Grand" <jpou...@gmail.com> escreveu: > >> Yes it is. >> >> Le mar. 27 févr. 2018 à 00:03, Luís Filipe Nassif <lfcnas...@gmail.com> a >> écrit : >> >>> Hi Lucene community, >>> >>> Is BinaryPoint limited up to 8 dimensions? >>> >>> Thanks, >>> Luis >>> >>> Em 6 de fev de 2018 16:07, "Luís Filipe Nassif" <lfcnas...@gmail.com> >>> escreveu: >>> >>> Is it limited up to 8 dimensions as described at >>> https://www.elastic.co/blog/lucene-points-6.0? >>> >>> 2018-02-06 15:35 GMT-02:00 Luís Filipe Nassif <lfcnas...@gmail.com>: >>> >>>> Sorry, I was looking at the wrong place. Should I use BinaryPoint ( >>>> https://lucene.apache.org/core/6_0_0/core/org/apache/lucene >>>> /document/BinaryPoint.html) ? >>>> >>>> 2018-02-06 14:17 GMT-02:00 Luís Filipe Nassif <lfcnas...@gmail.com>: >>>> >>>>> Hi all, >>>>> >>>>> Lucene is able to index generic n-dimensional points for efficient >>>>> similarity or nearest neightbors search? I have looked at spatial >>> package >>>>> in the past but seems it is specific to geo points? The use case is to >>>>> index image feature vectors to search for similar images in a corpus. >>>>> >>>>> Currently we are using lucene to text search and we would like to not >>>>> have to manage two different index structures, synchronize commits, so >>> on. >>>>> >>>>> Thank you, >>>>> Luis Nassif -------------------------- Ken Krugler +1 530-210-6378 http://www.scaleunlimited.com Custom big data solutions & training Flink, Solr, Hadoop, Cascading & Cassandra
