Our summary
Search can find the right subject and still disappoint: the top results repeat a product, or a document is split in the middle of an answer. Qdrant tries Jev for ordering results, making them more varied, choosing categories and finding the point where a topic changes.
One approach combines scores for search results with a rule rewarding variety. Another boosts a likely product category, applying a filter only at higher confidence. For documents, Jev judges the gaps between sentences; code turns those judgments into chunks that fit size limits.
The authors report gains on their datasets, but their apple search loses electronics after a confident food-category guess. Reordering cannot recover an item already filtered out. Proposed short-query fixes remain untested. Hosted checks send queries or document text to OpenRouter, and the notebooks keep local caches.
Key takeaways
- Relevant results can be near-duplicates. Test the separate variety rule as well as the relevance ranking.
- Try ambiguous searches before adding a category filter. Boosting changes the order; filtering removes results from consideration.
- When possible, split documents ahead of search requests so that each search does not need another model call.