Unverified50% confidenceFactExact time
Natural language querying (NLQ) allows business users to ask questions in everyday language, with the AI layer translating them into SQL and returning results.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
Partially VerifiedText-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 databases76% similarVerifiedGenie is a conversational analytics feature launched by Databricks that allows users to ask questions in natural language and automatically generates SQL to return results.71% 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.70% similarUnverifiedWhen querying data, AI data agents interact with the semantic layer rather than directly manipulating underlying SQL tables, thereby mapping natural language questions to validated, standardized metric definitions.69% similarUnverifiedJQL (Jira Query Language) is a dedicated query language designed by Atlassian for Jira, with syntax similar to SQL.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/974799API
curl https://kongchang.com/api/v1/knowledge/claims/974799MCP
get_claim(id=974799)