--- title: Multi-Agentic SQL Generator sdk: gradio app_file: app.py license: apache-2.0 tags: - sql - openai - multi-agent - demo sdk_version: 5.19.0 --- # Multi-Agentic SQL Generator The Multi-Agentic SQL Generator is a modular, multi-step system that translates natural language queries into SQL queries, validates and optimizes them, and then executes them against a SQLite database. The system leverages OpenAI's language models (via a LangGraph workflow) for query understanding, validation, and optimization. It also provides evaluation capabilities using RAGAS metrics (such as context precision and context recall) to assess performance and quality. ## Capabilities - **Natural Language Query Understanding:** Converts natural language queries into structured SQL metadata according to a predefined database schema. - **Query Validation:** Checks the generated SQL for syntax errors and security risks (e.g., harmful operations like `DROP`, `DELETE`). - **Query Optimization:** Optimizes SQL queries for performance, ensuring only the necessary columns, joins, and filtering conditions are included. - **SQL Execution:** Executes the optimized SQL query against a SQLite database and returns the results. - **Evaluation with RAGAS Metrics:** Evaluates the generated output using metrics like: - **Faithfulness:** (0.7500) Faithfulness measures how well the generated SQL execution results match the expected (ground truth) results. - **Answer Relevancy:** (0.2280) Answer relevancy measures how well the generated SQL results match the intent of the user's query. - **Context Precision:** (0.3000) Context Precision measures how much of the generated SQL execution result is actually relevant to the query. - **Context Recall:** (0.3500) Context Recall measures how much of the expected result was actually retrieved. - **Extensibility and Deployment:** Easily integrable with front-end frameworks (e.g., Chainlit) and deployable on platforms like Hugging Face Spaces. ## Installation 1. **Clone the Repository:** ```bash git clone https://github.com/yourusername/multi-agent-sql-generator.git cd multi-agent-sql-generator