Leveraging Generative AI for Data Analysis with Langchain and OpenAI

Building an Automated Data Analysis Assistant Using BigQuery, DLP, Langchain and OpenAI Tools

Since businesses generate massive amounts of data daily, pulling out useful insights from all this information can be tough, especially with complex datasets and huge volumes of data. But with generative AI, we can streamline and automate data analysis, making it efficient and accessible. In this article, I’ll show you how to set up and use an AI data Analysis assistant using Google Langchain, OpenAI, BigQuery, and Data Loss Prevention (DLP).

Use Case: Automating Data Analysis with BigQuery

Solution Design

The solution involves setting up a Streamlit app using a Langchain agent and OpenAI that interacts with the BigQuery dataset to automate data analysis. This agent will use custom tools for specific tasks such as masking PII customer attributes and visualizing data. Additionally, the agent will be configured to retain chat history, ensuring contextually accurate responses.

Here’s a diagram of the solution architecture: