A team is building a recommendation engine for a social media platform where thousands of new posts are created every minute. To find similar posts quickly, a team member proposes a strategy: once every 24 hours, the system will process all existing post vectors and build a single, highly-optimized search index. For the rest of the day, this static index will be used to handle all recommendation requests. Evaluate the suitability of this proposed strategy for this specific use case. Justify your conclusion by explaining the relationship between the data's characteristics and the chosen indexing approach.