Developer Releases InfiniDB Treating LLMs As Database
At Christmas, a developer introduced InfiniDB, an experimental SQLite virtual-table module that treats large language models as dynamic, on-demand databases. The system generates schemas and sample rows via LLM calls, caches results in a .cache folder, and supports SQL features like WHERE, JOIN, GROUP BY, and ORDER BY; examples include Beatles, Pokémon (151 entries), and U.S. presidents cross-referenced with inventions.
Key Points
- 1Introduces InfiniDB, a SQLite virtual-table module that generates tables and data from LLM prompts
- 2Demonstrates SQL-style querying (JOIN, GROUP BY, ORDER BY) over model-generated, on-demand datasets for analysis
- 3Warns practitioners data and schema can be unreliable; caches samples but unsuitable for production use
Scoring Rationale
Prototype offers usable code and demonstrations, but limited novelty and unreliable LLM-generated schemas constrain production value.
Sources
Public references used for this report.
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