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BigVectorBench: Heterogeneous Data Embedding and Compound Queries are Essential in Evaluating Vector Databases

Summary: Shows that heterogeneous-data embedding and compound (multimodal + constrained) queries are essential, yet overlooked, axes that determine vector DB performance. Presents BigVectorBench, with embedding metrics and compound-query abstractions to reveal mainstream systems' bottlenecks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13817
Venue
VLDB
Year
2025
Pagerank
4.3441378e-05
Overall Rank
9,394 | 34.65%
DOI
10.14778/3718057.3718078

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