Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting
Large Language Models (LLMs) are increasingly used in database-backed applications to classify tuples, filter records using semantic predicates, extract structured attributes, and enrich query results. Yet the prompt that start these computations are typically stored outside the DBMS in unstructured formats, making them invisible to query execution, metadata management, and optimization. Drawing on Stonebraker's QUEL as a Data Type and the principles of reflective programming, this paper introduces PromptDB, a database system that treats prompts as tuple-level database values. PromptDB provides a logical PROMPT datatype whose values store a template, bindings to tuple attributes, model me...
| Authors | Denis Mayr Lima Martins, Gottfried Vossen |
|---|---|
| Primary category | cs.DB |
| Published | 23 July 2026 |
| Last updated at source | 23 July 2026 |
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