Text-to-SQL Generator enables users to interact with databases using plain English. The system translates natural language questions into executable SQL queries, validates them against the database schema, executes the query, and explains the generated SQL.
Example:
User Input
Show all employees hired after 2023.
Generated SQL
SELECT * FROM employees
WHERE hire_date > '2023-01-01';
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Natural Language → SQL conversion
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Schema-aware query generation
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Database connectivity and execution
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SQL validation before execution
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Query explanation in plain English
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Interactive Streamlit interface
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Support for relational databases
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Real-time query results
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Python
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OpenAI API
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LangChain
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SQLAlchemy
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Streamlit
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SQLite / MySQL / PostgreSQL
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Business Intelligence
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Database Analytics
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Self-Service Data Querying
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Enterprise Reporting
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Data Exploration
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SQL Learning and Education
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LLM-powered SQL generation
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Schema-aware prompting for improved accuracy
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Secure database interaction
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Human-readable SQL explanations
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End-to-end AI application deployment
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Multi-database support
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Query optimization suggestions
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Role-based access control
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Query history and analytics
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Local LLM support (Llama, Mistral, Ollama)
Danish Zulfiqar