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cloud.google.com·6h ago
AI Research
arXiv CS.AI·Sep 3·5 min read
text2ql: Multi-Target Natural Language Querying via a Language-Agnostic Intermediate Representation
TL;DR
text2ql is an open-source Python framework that enables natural language querying of databases using a language-agnostic Intermediate Representation. It achieves 100% execution accuracy in deterministic mode and significantly improves query generation confidence scores.
✦ Why It Matters
Explore text2ql to enhance your database querying capabilities without relying on large language models.
Key Takeaways
- Utilize text2ql for multi-target natural language querying.
- Leverage the deterministic mode for guaranteed query execution accuracy.
- Implement schema-aware prompting to boost query accuracy.
- Access the open-source framework under the Apache 2.0 license.
How It Works
text2ql employs a language-agnostic Intermediate Representation (QueryIR) to facilitate natural language queries across different database types. Its seven-stage detection pipeline processes queries and generates outputs for both SQL and GraphQL.
The framework includes a deterministic mode that operates without LLMs, ensuring high execution accuracy and low latency. Additionally, it provides runtime confidence scores for generated queries, allowing users to assess their reliability.