SYSTEM Cited by 1 source
Text2SQL template cache¶
The Text2SQL template cache is the unnamed production reference architecture described by AWS for making natural-language-to-SQL requests fast without serving stale answers. It persists generalized SQL structures, their source-question embeddings, and typed placeholders. Requests semantically match a template, bind fresh entity values with prepared parameters, execute against live data, and summarize the result. New authoritative SQL generations enter the cache only after successful execution. (Source: sources/2026-08-13-aws-reducing-text2sql-latency-with-parameterized-query-templates)
Request paths¶
| Path | Steps | Cost and latency property |
|---|---|---|
| Template hit | Extract entities → embed question → retrieve template → validate and bind slots → execute live query → summarize | Skips the large SQL-generation call; source reports under five seconds end to end. |
| No template / low score | Run full SQL generation → execute → summarize → generalize and store successful query | Preserves the authoritative behavior and expands future coverage. |
| Template result insufficient | Treat the incomplete result as a miss and use full generation | Avoids returning an answer that is syntactically valid but incomplete for the question. |
Core stored record¶
template SQL: SELECT SUM(revenue) FROM sales WHERE quarter = {quarter}
question embedding: embedding("What were total sales in Q3?")
slot contract: {quarter: enum / validated value}
The post does not identify a specific vector-store product, database, template-generalization implementation, or model family used for the reported production result. (Source: sources/2026-08-13-aws-reducing-text2sql-latency-with-parameterized-query-templates)
Operating envelope¶
AWS reports roughly 60% cache hits after two weeks of active use, 25–30-second uncached requests, sub-five-second hit requests, and greater than 50% blended token reduction. Those measurements reflect one production deployment and vary with schema size, query repetition, prompt construction, models, and database latency. (Source: sources/2026-08-13-aws-reducing-text2sql-latency-with-parameterized-query-templates)
Seen in¶
- sources/2026-08-13-aws-reducing-text2sql-latency-with-parameterized-query-templates — canonical AWS reference architecture, with Bedrock SQL generation, Lambda orchestration, vector-based template retrieval, validation, and reinforcement-loop cache growth.
Related¶
- concepts/text-to-sql — the broader task.
- concepts/query-structure-caching — the freshness-preserving cache abstraction.
- patterns/semantic-template-cache-with-generative-fallback — the full request/control-flow pattern.
- patterns/parameterized-template-execution-with-entity-validation — the safe execution path.