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Building a Snowflake-Powered AI Assistant with LLMs
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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