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natural language querying

2 articles · Page 1 of 1

Oct 9, 2026 · Artificial Intelligence

Choosing Your Intelligent Data Querying Stack: Text-to-SQL vs Text-to-DSL vs Data Agent

The article compares three technical approaches for natural language data querying—Text-to-SQL, Text-to-DSL, and Data Agent—analyzing their principles, strengths, limitations, and enterprise selection criteria, while emphasizing semantic layers, multi-step analysis, and phased implementation.

Data AgentData AnalysisSemantic Layer

0 likes · 18 min read

Choosing Your Intelligent Data Querying Stack: Text-to-SQL vs Text-to-DSL vs Data Agent

Data Party THU

Sep 3, 2026 · Databases

Sonar-TS: Training-Free Natural Language Querying for Massive Time Series Databases

Sonar-TS introduces a training-free framework for natural language querying of massive time series databases, defining the new NLQ4TSDB problem, creating the NLQTSBench benchmark, and using a search-then-verify approach with symbolic indexing and code-based verification to find pattern matches across millions of data points.

NLQ4TSDBNLQTSBenchSonar-TS

0 likes · 12 min read

Sonar-TS: Training-Free Natural Language Querying for Massive Time Series Databases