Building Production Grade Text to SQL Application Using Oracle AI Database - Select AI

Why It Matters

Embedding text‑to‑SQL directly in Oracle’s AI Database lets businesses unlock conversational analytics securely and at lower cost, speeding time‑to‑insight for data‑driven decisions.

Key Takeaways

• Oracle AI Database enables in‑database text‑to‑SQL conversion without external services.
• LLM accesses only schema metadata, preserving data privacy and governance.
• Setup requires creating an autonomous AI instance, wallet, and IP whitelist.
• Application supports any LLM provider (OpenAI, Cohere) for query generation.
• Result includes SQL execution and explanatory output for user transparency.

Summary

The video walks viewers through building a production‑grade text‑to‑SQL application that runs entirely inside Oracle’s next‑gen 26 AI Database. By leveraging the database’s native AI capabilities, users can type plain English questions and receive automatically generated, executed SQL results without provisioning separate servers or services.

Krish Naik explains the architecture: the LLM receives only the database schema—table and column names—while the actual data never leaves the Oracle environment. This design enforces strict data governance, as the model cannot see sensitive rows. The setup involves creating an autonomous AI instance, downloading a wallet zip, and configuring an IP whitelist to allow external connections.

He demonstrates a retail analytics use case, asking, “unique products ordered by customers,” which the LLM translates into a SQL query, runs it inside the database, and returns both the result set and a natural‑language explanation of the query. The tutorial also covers choosing any LLM provider (OpenAI, Cohere, etc.) and configuring the necessary Python dependencies.

For enterprises, this approach eliminates the need for external inference layers, reduces latency, and ensures compliance with security policies while accelerating AI‑driven analytics deployment.

Original Description

Every enterprise has critical data locked inside Oracle databases — accessible only to SQL-literate engineers. Oracle AI Database Select AI eliminates this bottleneck.

https://fandf.co/49alXFS - ai developer hub

https://fandf.co/4vdxRrl - (https://github.com/sourangshupal/oracle-yt)

This tutorial demonstrates a fully self-contained, reproducible demo where:

🏪 A realistic retail sales database is built from scratch (4 tables, ~1,750 rows)

🤖 An LLM provider (OpenAI GPT-4o or Cohere Command R+) is registered directly inside Oracle

💬 Business users type plain English and get instant, accurate SQL results

📊 All 4 Select AI modes are demonstrated live in a Jupyter Notebook

✅ 100% free — runs entirely on Oracle Cloud Always Free Tier. No credit card required.