AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference
Summary: AlayaDB rearchitects LLM inference by decoupling KV cache and attention into a dedicated vector store. It models attention/cache as a query-processing task, with a native optimizer, delivering lower resource use and higher quality than previous approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yangshen Deng
- 2. Zhengxin You
- 3. Long Xiang
- 4. Qilong Li
- 5. Peiqi Yuan
- 6. Zhaoyang Hong
- 7. Yitao Zheng
- 8. Wanting Li
- 9. Runzhong Li
- 10. Haotian Liu
- 11. Kyriakos Mouratidis
- 12. Man Lung Yiu
- 13. Huan Li
- 14. Qiaomu Shen
- 15. Rui Mao
- 16. Bo Tang
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,222 | RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference | 2026 | VLDB | 4.1945683e-05 |
| 10,711 | Cracking Vector Search Indexes | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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