This guide helps data analysts, data scientists, and developers leverage LLMs for generating SQL queries from natural language questions, making complex data wrangling in BigQuery and other SQL databases more accessible and intuitive.
This tutorial will explore how Large Language Models (LLMs) like GPT-4 work with Google BigQuery to make advanced data analysis more accessible. This tutorial is made to help developers and data scientists familiar with basic LLM concepts turn natural language questions into detailed SQL queries.
By the end of this guide, you will know how to use LangChain with Google BigQuery to ask complex questions and obtain insightful answers, leveraging the full power of a modern LLM framework.
The Data & Colab Notebook
The Colab notebook with the code is available here. Following this tutorial, you can generate ecommerce data with customers, orders, and products.
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