■ Zero-Hallucination Text-to-SQL
A Text-to-SQL system that never hallucinates
Catch-Phrase replaces boring and inflexible dashboards with natural language access. And it guarantees 100% accuracy for questions within the semantically tractable class. This is something LLM-based approaches will never achieve. In short, we have closed the reliability gap for Text-to-SQL.
■ Controllable
Explainable Results
- Always see exactly how your question was interpreted and why
- Read this earlier EACL paper for a technical description of Catch-Phrase
Fully Configurable
- Can be configured for practically any specific behaviour
- See documentation
Fallback to LLMs
- Semantically tractable questions generate answers (framed in green).
- Non-semantically tractable questions generate LLM prompts (framed in red).
- Users deliberately select and paste prompts into their favorite LLM.
■ Streamlined
Non-cluttered UI
- All operations through a clean single search bar, supporting click building of questions.
Extra UI capabilities
- Sharelinks, question sets, batch execution, data stories, and custom RAG prompts.
Performance
- Sub-second execution times.
■ Open
Seamless Integration
- Based 100% on SQL and open XML and JSON formats with a REST API interface.
Private Cloud or On-prem
- Deployed and operated securely by the customer in their private cloud account or on-premises.
Unrestricted use
- Simple pay-as-you-go contracts, unlimited seats, free-trial and free to adapt for white-label deployments.