Buster

Buster is a platform that converts natural language queries into SQL commands, enabling seamless interaction between databases and Large Language Models (LLMs). This tool allows developers and organizations to create production-ready text-to-SQL APIs, making complex databases more accessible through intuitive natural language querying.

Key features:
- Text-to-SQL API Generation: Enables building APIs that translate natural language queries into SQL for intuitive database interaction.
- Database Integration: Supports major databases and data warehouses including Postgres, MySQL, Snowflake, BigQuery, and Redshift.
- Schema Documentation and Management: Allows generation of schema documentation, definition of database nuances, and management of access controls.
- Synthetic Data Generation: Creates synthetic data for fine-tuning the LLM to specific database schemas, used for training and evaluation.
- Customizable UI Components: Offers pre-built UI components that can be customized through a no-code builder or custom CSS.
- Security and Compliance: Provides read-only access, granular access controls, and ensures query safety without storing data by default.
- Performance Monitoring: Enables monitoring of model performance, detection of quality issues, and collection of user feedback for continuous improvement.

How it works:
1. Connect database or data warehouse with read-only access.
2. Generate schema documentation, manage security settings, and configure access controls.
3. Generate synthetic data for model training and fine-tune the LLM to understand database schema nuances.
4. Deploy the model as an API or integrate into applications using Buster's pre-built UI components.

Integrations: Postgres, MySQL, Snowflake, BigQuery, Redshift

Use of AI: Buster utilizes fine-tuned models, Retrieval-Augmented Generation (RAG), proprietary ranking systems, and Reinforcement Learning from Human Feedback (RLHF) to achieve high accuracy in translating natural language to SQL.

AI foundation model: The platform's AI capabilities are built on advanced LLMs, leveraging state-of-the-art AI research and development.

Target users:
- Startups
- Large enterprises
- Organizations prioritizing performance, security, and complex database handling

How to access: Buster is available as a web application, offering an API and SDK for integration into existing systems. Its user-friendly interface and comprehensive documentation allow a single engineer to set up a proof of concept in 30 minutes.