Solr 9 Support

Now that you know what you can expect when making the switch to Solr 9, it’s important to understand when you should upgrade. You’ll want to make sure that it meets the specific needs of your project, and you’ll also want to think about whether or not it will be compatible with existing assets like content management systems or third-party integrations, as well as how any potential downtime during the upgrade process could impact your users.

Here are a few common scenarios in which we would strongly recommend upgrading to Solr 9:

• Multiple languages and character sets: Dealing with a lot of different languages and character sets?  Solr 9 offers support for a more extended range of both, making it easier for you to more accurately index and search text across a variety of languages and character sets.
  
  
• Boosting search relevancy: When it comes to search, it’s critical that your users are able to find exactly what they’re looking for. Solr 9 gives you access to increased search relevancy with features like custom scoring models and query-time boosting. For those who need more control over how their search results are ranked and displayed to their users, Solr 9 can be a huge help. 
  
  
• Joining the AI craze: As mentioned above, Dense Vector “Neural” Search has already taken off with the various AI plugins and APIs available. This feature, with enough customization, can be leveraged to perform semantic searches on data stored in Solr and then fed into available Artificial Intelligence APIs to produce AI chatbot-quality answers. This is just a glimpse into the capabilities Solr 9 will have with AI technology in the future.