TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent
- 类型:arxiv
- 标识:2608.00650
- 链接:http://arxiv.org/abs/2608.00650v1
- 主分类:rag
- 形态:application
- 被引:0
- 被引来源:Semantic Scholar + OpenAlex
- S2被引:0
- OpenAlex被引:0
- 影响力被引:0
- TLDR:TEngineDB-V makes vector search a first-class analytical primitive in Tencent's OLAP engine through a global segment-decoupled index materialized as relational tables, eliminating scatter-gather execution, reducing amplification, and enabling native storage optimizations.
- OpenAlex ID:W7172410157
- OpenAlex DOI:10.48550/arxiv.2608.00650
- DOI:10.48550/arxiv.2608.00650
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://doi.org/10.48550/arxiv.2608.00650
- OpenAlex更新:2026-08-26
- 待LLM分类:否
- 标题中文:TEngineDB-V:面向大 $k$ 工作负载的 OLAP 原生向量搜索系统(Tencent)
- TLDR中文:TEngineDB-V通过将全局段解耦索引物化为关系表,使向量搜索成为Tencent OLAP引擎的一等分析原语,消除scatter-gather执行、降低放大效应,并支持原生存储优化。
- 来源文件:
- /inbox/tom/_candidates/2026-08-04-rag-retrieval-reranking-candidates.json
- [S2 enrich]
- [OpenAlex backfill]