■ 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 are closing the reliability gap for Text-to-SQL.
■ Controllable
Explainable Results
- Always see exactly how your question was interpreted and why
- Read this paper for a technical description
Fully Configurable
- Can be configured for practically any specific behaviour
- See documentation
Fallback to LLMs
- Semantically tractable questions generate answers.
- Non-semantically tractable questions generate LLM prompts.
- Users deliberately select and paste prompts into their favorite LLM.
■ Streamlined
Non-cluttered UI
- All operations through a clean single search bar
- Innovative method for 'click building' questions
Extra UI features
- Sharelinks
- Question sets with batch execution
- Data stories
- Custom RAG prompts
- Data modifications commands
- Action commands
Performance
- Sub-second execution times
- Quick server start-up times
- Proven over very large and complex databases
■ Open
Seamless Integration
- Based on standard SQL and open XML and JSON formats
- Supports most DBMS systems: PostgreSQL, SQLite, MySQL, Oracle, SQL Server, Snowflake, Redshift, etc.
- No model training, expensive fine-tuning or data movement
- Can access via a REST API
Options
- Served securely from a private cloud account
- Served securely on-premises
- Served securely by us
Unrestricted use
- Standard AWS pay-as-you-go contracts
- Unlimited seats
- No per-question charges
- Free-trial
- Permits white-label deployments