Kalypso: Relational LLM Serving
Large language models are increasingly used as semantic operators for filtering, extracting, ranking, joining, and transforming unstructured data. Existing semantic query processing systems invoke request-centric LLM serving systems that are unaware of the query plan, leaving substantial performance opportunities unused. This paper introduces relational LLM serving, an abstraction that makes LLM serving aware of semantic query structure while preserving query semantics and output accuracy. The key opportunity is pipelined execution across semantic operators: when intermediate tuples flow directly from one operator to the next, their KV-cache state can be reused instead of recomputed. We p...
| Authors | Hojae Son, Md Ashraful Islam, Huy Gia Cao et al. |
|---|---|
| Primary category | cs.DB |
| Published | 26 July 2026 |
| Last updated at source | 14 August 2026 |
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