TernoDBI FAQs

Question 1

Which databases does TernoDBI support?

Accepted Answer

TernoDBI offers out-of-the-box unified connection handling for a wide array of databases including Postgres, MySQL, Snowflake, BigQuery, Databricks, Oracle, and SQLite.

Question 2

How does TernoDBI optimize data for Large Language Models (LLMs)?

Accepted Answer

It leverages LLM-Ready Schema Enrichment via semantic metadata and statistical profiling. This presents LLMs with clean, user-facing semantic names and relevant statistics, helping them consistently generate correct and optimized SQL queries.

Question 3

What is TernoDBI and its primary purpose?

Accepted Answer

TernoDBI is a secure, AI-ready database intelligence layer designed to bridge the gap between AI agents and enterprise data. It provides a unified, secure API for interacting with warehouse-scale databases while enforcing strict access controls and optimizing database schema context for LLMs.

Question 4

How does TernoDBI ensure data security for AI interactions?

Accepted Answer

TernoDBI provides enterprise-grade security features such as Row-Level Security (RLS) for strict data filtering, Privacy-by-Default to hide sensitive tables/columns, and SQLShield for automatic AST-based SQL validation, preventing prompt injection and destructive operations.

Question 5

Can TernoDBI be integrated into an existing Django project?

Accepted Answer

Yes, TernoDBI can be directly integrated as a Django App into your existing Django infrastructure. This allows you to utilize its internal models, query optimizers, and services programmatically within your custom Django project.

TernoDBI

TernoDBI

主要功能

使用案例

主要功能

使用案例