result: [{name: string, age: int}] = [];
这种不对称性指向了一种更高效的分工方式：模型负责规模与多样性，人类专家负责质量与可验证性。 这正是 UniScientist 数据引擎的核心原则——产出的训练实例既有广泛的专业覆盖面，又有严格的验证保障。
。新收录的资料是该领域的重要参考
It feels like a basic problem that Postgres should solve. After all, can’t we just create an index? Yet in many production Postgres deployments, Top K is deceptively hard. This post examines where Postgres’ Top K optimizations shine, where they falter, and why search libraries like Lucene/Tantivy or databases like ParadeDB that specialize in Top K take a fundamentally different approach.
09:33, 8 марта 2026Мир