Real ChatGPT answer · index seeda7MplWna1eYcompleteB2B software · AI and automation toolsinformational
How do relational database indexes affect the performance of text-to-SQL generation tools, and what schema optimizations make it easier for language models to write accurate queries?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do relational database indexes affect the performance of text-to-SQL generation tools, and what schema optimizations make it easier for language models to write accurate queries?
1 real search · 1 real-search pass
text-to-SQL schema design database indexes query generation accuracy schema linking foreign keys benchmarks best practicesGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
text-to-SQL schema design database indexes query generation accuracy schema linking foreign keys benchmarks best practices Google ↗
- SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases · aclanthology.org
- A Survey on Employing Large Language Models for Text-to-SQL Tasks · doi.org
- Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL · aclanthology.org
- Techniques for improving text-to-SQL · cloud.google.com
- SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases · aclanthology.org