DAT FAQs

Question 1

What databases are supported by DAT?

Accepted Answer

DAT provides comprehensive multi-database support for widely used systems like MySQL, PostgreSQL, and Oracle. Its pluggable SPI architecture also allows for flexible integration and extension to other databases.

Question 2

What is DAT (Data Ask Tool)?

Accepted Answer

DAT (Data Ask Tool) is an enterprise-grade AI solution designed to empower business users to interact with their data using natural language, bypassing the need for complex SQL queries and making data accessible to everyone.

Question 3

How does DAT ensure high-quality and reliable data insights?

Accepted Answer

DAT achieves high accuracy through intelligent semantic SQL generation, leveraging LLMs and pre-modeled semantic layers. Additionally, it incorporates Vectorized Retrieval Augmented Generation (RAG) for robust content storage, semantic retrieval, and business knowledge vectorization, guaranteeing confident and correct data responses.

Question 4

What are semantic layers and why are they important in DAT?

Accepted Answer

Semantic layers in DAT allow you to define entities, dimensions, and measures via YAML configuration. This pre-modeling provides a robust business context, ensuring that AI-generated queries are not only accurate but also consistent and relevant to your enterprise data.

Question 5

How does DAT eliminate the need for writing SQL queries?

Accepted Answer

DAT utilizes advanced LLM-based natural language understanding to interpret user questions and intelligently generate accurate SQL queries. It leverages pre-modeled semantic layers to ensure the generated SQL precisely reflects business context.

DAT

DAT

主要功能

使用案例

主要功能

使用案例