LakehouseBot.ipynb
In the world of modern data analysis, combining cutting-edge language models like OpenAI with the power of Spark SQL and Microsoft Fabric is a game-changer. This article demonstrates how to integrate LangChain-OpenAI into a Microsoft Fabric Notebook with PySpark, leveraging a Lakehouse to store and query data. This setup allows us to turn natural language questions into complex SQL queries seamlessly.
Here’s a quick overview of what we’ll cover:
- Setting up LangChain-OpenAI with Azure.
- Leveraging Microsoft Fabric Notebooks with PySpark.
- Using a Lakehouse for storage and querying of data tables.
- Converting user questions into SQL queries and running them on Spark.
Let’s dive into the details and see how these technologies come together to unlock powerful insights.
https%3A%2F%2Fgithub.com%2Fstjeloma%2FGemsFABRIC%2Fblob%2Fmain%2FLakehouseBot.ipynb
