The article provides a practical guide to building a natural language interface for Snowflake data warehouse using OpenAI's GPT, Python, and Streamlit. The system allows business users to query data u
sing plain English, with the LLM handling the translation to SQL and returning meaningful insights.
Reasons to Read -- Learn:
how to create a practical, working chatbot that connects directly to your Snowflake database, enabling natural language queries without requiring SQL knowledge from end users.
how to integrate OpenAI's GPT with Snowflake using Python, complete with detailed code examples for prompt design, query generation, and database connectivity.
how to build a complete end-to-end data querying solution that includes a web interface using Streamlit, along with specific enhancement suggestions for business rules integration and visualization capabilities.
3 min readauthor: Ayoub Abdelouarit
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