To do that, DLIS specifically seeks to procure and configure an Elasticsearch system and all dependent systems to consume data from the DLIS Florida Memory database into an Elasticsearch index, according to a request for proposals (RFP) from the division.
For context, Elasticsearch is a distributed search and analytics engine that provides near real-time search and analytics for all data types.
Florida Memory, on the other hand, previously used a Solr search system, according to the RFP. However, after several security updates, the system was no longer compatible, resulting in DLIS using an Omeka plugin for advanced searches. The issue with the plugin is that it does not meet the division’s needs, size and desired user options.
As a result, the division seeks a contractor to obtain and maintain “a hosted modern search system capable of faceting on any metadata field with 100 percent uptime.”
Additional system requirements include:
- An Elasticsearch server capable of supporting at least 100,000 requests per day
- An Elasticsearch index file of the Florida Memory database
- Written directions to re-index the Florida Memory database
- Written directions to configure the search filter on the back end
- A demonstration of complete, accurate and correctly displayed search results
The resulting contract from this RFP will span from the execution date through Sept. 30, 2029.
More information about DOS-RFP-24/25-004 can be found online. The deadline for questions is 5 p.m. on Aug. 5, and all vendor proposals must be submitted by 2 p.m. on Aug. 30.
