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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)

Paper ID
7091
Venue
SIGMOD
Year
2025
Pagerank
4.3958197e-05
Overall Rank
9,103 | 36.68%
DOI
10.1145/3722212.3724428

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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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