Expired50% confidenceFactTime unknown
Prior to Milvus 3.0, vector search could only sort results by similarity, requiring users to pull all results to the client and write custom sorting code for secondary sorting.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Milvus 3.0-beta Deep Dive: Ten Core Features and the Complete Architecture Overhaul
bilibili小天老师的AI大课堂
Related Claims
UnverifiedMilvus 3.0 introduces an Order By feature that supports specifying multi-level sorting rules directly in the search statement, processed in a single pass by the database kernel.74% similarUnverifiedPython 内置排序算法 Tim Sort 由 Tim Peters 于2002年设计，结合了归并排序与插入排序的优点，最坏情况下保持 O(n log n)55% similarUnverifiedVector search uses ANN (Approximate Nearest Neighbor) algorithms to quickly find similar vectors54% similarUnverifiedVector similarity search uses cosine similarity or Euclidean distance to find chunks whose vectors are closest to the user's query vector.54% similarUnverifiedMilvus 3.0 supports aggregation queries (such as group by, count, average, maximum) written directly in queries and processed at the database layer, eliminating the need to fetch all records to the application layer.53% similar
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