DBScholar

Back to papers

VectraFlow: Integrating Vectors into Stream Processing

Summary: VectraFlow: a stream-focused dataflow engine enabling continuous, low-latency vector processing—first to tackle streaming trade-offs for filtering, top‑k, and joins via clustering and novel indexes. Uses quantization/compact encodings to boost throughput while retaining accuracy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
549
Venue
CIDR
Year
2025
Pagerank
5.7772535e-05
Overall Rank
6,778 | 53.50%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lu_cidr25,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '25},
        title = {{VectraFlow: Integrating Vectors into Stream Processing}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Lu, Duo and Feng, Siming and Zhou, Jonathan and Solleza, Franco and Schwarzkopf, Malte and Çetintemel, Uğur},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers