Talk to your Data Base with GPT models using LangChain 🦜🔗! (CSV)

In this short article, I will show you how you can use a Large Language Model (LLM) to ask questions about your personal CSV.

Linking OpenAI to your Database. Drawing: MalachkovaK

In my former article, I explain the basic principles of LangChain, how it can be used, and some common use cases. I also showed how to give the OpenAI GPT model Google search access. The article can be found here:

Give OpenAI models internet access using LangChain🦜🔗

In this article, I will:

• Show how to set an environment
• Read in a CSV file
• Create a Q&A chain that can answer questions about your file.

Use cases

There are several use cases where you would want to be able to talk to your database:

1. Data Analysis and Exploration: In the case of big files with thousands of rows, it could be nice to do an exploratory analysis of the data. This can be done using LLMs like open AI’s GPT4 if connected using LangChain. By asking questions about the database, you can create a general understanding of what data you are working…