# Reducing Text2SQL latency with parameterized query templates

DevFeed: [Reducing Text2SQL latency with parameterized query templates](<https://devfeed.tech/articles/reducing-text2sql-latency-with-parameterized-query-templates-4649.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/architecture/reducing-text2sql-latency-with-parameterized-query-templates/>)

Author: Yury Brukau

Published: 2026-08-13T00:40:32Z

Content type: article

Language: en

Sources: [AWS Architecture Blog](<https://devfeed.tech/sources/aws-architecture-blog.md>)

Topics: [text2sql](<https://devfeed.tech/topics/text2sql.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [aws-lambda](<https://devfeed.tech/tags/aws-lambda.md>), [database](<https://devfeed.tech/tags/database.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [performance](<https://devfeed.tech/tags/performance.md>), [production](<https://devfeed.tech/tags/production.md>), [sql](<https://devfeed.tech/tags/sql.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>), [text2sql](<https://devfeed.tech/tags/text2sql.md>)

## AI overview

The article describes using parameterized SQL query templates as a semantic caching layer for a production Text2SQL system. It reports lower latency and token consumption by matching similar questions to templates and avoiding some LLM calls.

## Source excerpt

Learn how parameterized query templates reduced Text2SQL latency by 80% and cut token consumption by over 50%. This post covers the architecture behind an intelligent caching layer that uses semantic similarity to match user questions to SQL templates, bypassing expensive LLM calls.