common ecommerce use case

Hi, It's a common use case in ecommerce world and I would like to hear best approaches to implement them. What are the options to implement "red shoes" (color category), "Men's bikes" (Gender category) or "Samsung TV" (brand catgeory) kind of queries? is it better to implement using filters

saas based search With Solr

All, Does any one aware of commercially available SAAS based Solr search tool? Regards, Sreenivas

Re: Opinions on ExtractingRequestHandler

Frederik, We have also used separate service, which uses tika & then use solrj to index the content. The main reason, why we went for this approach is to have flexibility to manipulate/transform data over and above what tika does. What I understand is that, if there is no other transformation

Span queries

Hi, I'm writing span query with in own custom query parser. I get the tokens from query analyzer and create span term queries from each token. Later I'm doing span near query with all these span term queries. This would work if all the tokens are present in the index with in specified slop.

Re: How extractingrequest handler works?

m/2012/02/14/indexing-with-solrj/ > > The database bits are just there because I wanted to talk about both > at once, they're not necessary for Tika at all. > > Best, > Erick > > On Fri, Dec 8, 2017 at 12:30 AM, Sreenivas.T <sree...@gmail.com> wrote: > > All, >

How extractingrequest handler works?

All, How extractingrequest handler internally indexes tika extracted content? Does it internally calls update processor? I've custom update document processor that need to work on tika extracted content and needs to call an API. Is it that I need to extend that extractingrequesthandler and do

Re: Calling rest API from Solr custom tokenizer plugin

d anyway, > and a tokenizer only works on text within a single field. > > -Doug > > On Wed, Dec 6, 2017 at 10:57 PM Sreenivas.T <sree...@gmail.com> wrote: > > > All, > > > > I need help from experts. We are trying to build a cognitive search > > platfo

Calling rest API from Solr custom tokenizer plugin

All, I need help from experts. We are trying to build a cognitive search platform with enterprise content from content sources like sharepoint, file share etc.. before content is getting indexed to Solr, I need to call our internal AI platform to get additional metadata like classification tags

Re: Provide suggestion on indexing performance

I agree with Tom. Doc values and stored fields are present for different reasons. Doc values is another index that gets build for faster sorting/faceting. On Wed, Sep 13, 2017 at 11:30 PM Tom Evans wrote: > On Tue, Sep 12, 2017 at 4:06 AM, Aman Tandon