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

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