NL2Pipe compiles natural-language queries into executable semantic operator pipelines via a three-phase process of entity linking, backend-agnostic planning, and code generation.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Hyperparam supplies under-70KB JS libraries (Hyparquet, Squirreling, Icebird) for async-native SQL over Parquet/Iceberg with per-cell LLM UDFs, claiming 300x speedup versus DuckDB-WASM on filter queries and two-thirds lower cost on agent analyst tasks.
citing papers explorer
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Bridge the Last-Mile Gap to Semantic Analytics: Compiling Natural-Language Queries into Semantic Operator Pipelines
NL2Pipe compiles natural-language queries into executable semantic operator pipelines via a three-phase process of entity linking, backend-agnostic planning, and code generation.
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A Query Engine for the Agents
Hyperparam supplies under-70KB JS libraries (Hyparquet, Squirreling, Icebird) for async-native SQL over Parquet/Iceberg with per-cell LLM UDFs, claiming 300x speedup versus DuckDB-WASM on filter queries and two-thirds lower cost on agent analyst tasks.