Solr: the most mature Lucene-based search engine
Apache Solr is increasingly the choice for organizations that need the deepest control over their search experience. We're proud to have been involved with Solr since day one: we wrote the first book on Solr and have been consulting with Solr for nearly a decade.
Leverage our expertise to increase your capabilities and enhance your team's ability to execute
We can:
- Build custom Solr applications
- Improve the relevance of Solr search results
- Craft semantically aware and personalized Solr applications
- Troubleshoot performance problems
- Develop custom Solr functionality and plugins
- Create robust ETL solutions around Solr
OSC's Solr/Lucene knowledge expanded and greatly improved the abilities of our public job search. They delivered technical excellence at every turn: demonstrating expertise in Lucene internals, relevance models, and data science backed by a solid methodology for improving search relevance. On a deliverables front: they learned our legacy search stack quickly and made high-quality code contributions. OSC marries technical excellence with strategic insight: we highly recommend their experts to any search team.
We really appreciated your focused approach to problem solving. I know that “search” per se is a wide field but you helped us narrow it down to our context quite effectively with Solr.
We were so impressed with every step of our engagement with Open Source Connections. We could not be more pleased with OSC and their engineers and would not hesitate to recommend them for any Solr consulting needs.
Our Solr products & publications:
Relevant Search — by practice lead Doug Turnbull
Quepid — a relevancy tuning platform. Monitor and improve your results.
Our latest Solr articles:
Solr Multiterm Synonyms: avoiding sow=false surprises
(20 Feb 2018)
We document some of the behaviors behind Solr's relatively new sow=false strategy for parsing queries and dealing with query-time synonyms...
Haystack Agenda Announced!
(16 Feb 2018)
The agenda for Haystack - the search relevance talk - has been announced!
Elasticsearch Learning to Rank 1.0.1 Released
(12 Feb 2018)
Elastic Cloud users rejoice! Elasticsearch LTR 1.0.1 released with support for XPack Security added.

Relevant Search — by practice lead Doug Turnbull

Quepid — a relevancy tuning platform. Monitor and improve your results.
We document some of the behaviors behind Solr's relatively new sow=false strategy for parsing queries and dealing with query-time synonyms...
The agenda for Haystack - the search relevance talk - has been announced!
Elastic Cloud users rejoice! Elasticsearch LTR 1.0.1 released with support for XPack Security added.
Still have questions?
Talk directly with Eric Pugh, our founder & CEO
(434) 466-1467 | [email protected]