The benefit of using the Query Suggestions index generated by Algolia is that the suggestions are based on Analytics data and how your users interact with your search experience.
By default, the Query Suggestions builder pulls the most frequent searches Analytics data from your source index - the index that contains your search results. The Query Suggestions builder assigns each suggestion a popularity score based on the number of times the term was searched for in the last 30 days by unique users, and it rebuilds the index once every 24 hours.
This means if you manually add records to the QS index or amend specific values in the index, these changes will be overridden upon the next Query Suggestion rebuild.
If you want to add specific suggestions or tweak a suggestion’s popularity, you can add custom suggestions by creating an additional Algolia Index and adding this index as an external analytics source. The Query Suggestions builder will combine the data from this index with Algolia Analytics from the source index.
You can find more information on how to format this index and integrate it into your Query Suggestions here.