You want to chat with your database? Now you can use AI Model to achive this.

Converting text to SQL with the help of an AI model is a process where natural language input is transformed into SQL queries. This is an example of Natural Language Processing (NLP), and it’s typically done using machine learning models that understand both the structure of language and the syntax of SQL.

Here’s how you can approach this process:

Choose or Build a Natural Language to SQL Model

Use an AI model (e.g., OpenAI’s GPT, Google PaLM, or an open-source LLM) trained or fine-tuned for SQL generation.

You can also use pre-built services like:

• Oracle AI Services
• LangChain + OpenAI + SQL connectors

2. Connect to Oracle Database

• Use cx_Oracle (Python) or node-oracledb (Node.js) to execute generated queries securely.

3. Create a Chat-Based Interface

• Build a UI using a chatbot framework (like Oracle Digital Assistant, Microsoft Bot Framework, or a custom web app).
• Pass user messages to the AI agent, which interprets and converts the message into SQL.

Example Workflow

Step 1: User says

“Show me all customers from New York who ordered last month.”

Step 2: AI Agent Converts to SQL

sqlCopyEditSELECT customer_name, order_date
FROM orders
WHERE city = 'New York'
AND order_date >= ADD_MONTHS(TRUNC(SYSDATE, 'MM'), -1);

Step 3: AI Agent Executes the Query

• The agent sends this SQL to the Oracle database.
• Returns the result back to the user in human-readable format or table.

Tools You Can Use: