Partially Verified65% confidenceFactExact time
Text-to-SQL is a research direction in NLP with the core goal of automatically converting natural language questions into SQL query statements executable on relational databases
3
Sources
65%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedNatural language querying (NLQ) allows business users to ask questions in everyday language, with the AI layer translating them into SQL and returning results.76% similarUnverifiedThe implementation path for applying LLMs to structured data queries typically involves first translating natural language into structured query statements (such as SQL or API calls), and then having the LLM semantically interpret the results—a path also known as Text-to-SQL or NL2Query.74% similarUnverifiedText-to-SQL 系统架构通常包含自然语言理解、Schema Linking 和 SQL 生成三个核心模块74% similarVerifiedSQL is a classic example of a declarative language, where users declare what data they want and the database query optimizer decides the optimal execution plan on its own.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/680345API
curl https://kongchang.com/api/v1/knowledge/claims/680345MCP
get_claim(id=680345)