Use ChatGPT with Large CSV Files

ChatGPT allows you to analyze your CSV files, but this only works for small files. If your CSV file is too large, ChatGPT will simply reject it, and not be able to deal with it.

With AINIRO you can deal with CSV files that are several gigabytes, containing millions of records. Our low-code and no-code platform allows you to wrap your CSV file into an SQL database, where the LLM retrieves data on demand, never overflowing the maximum tokens context window. The end result becoming ...

Using ChatGPT with extremely large CSV file - In theory, infinite size!

In this video I am demonstrating the process, in addition to illustrating how I am "speaking to my CSV file" using my voice, having the LLM respond with natural sounding voice, arguably "having a conversation with my CSV files".

The point about the process in the video is that I generate an SQL database based upon the content and structure of the CSV file. Then I create an API for extracting data from this database, allowing me to filter, sort, order, and aggregate data from the file. This allows ChatGPT to retrieve only relevant data according to what prompts you supply to it. The process is as follows.

Generate SQL database from your CSV file
Generate an API to extract data from this database
Create an AI agent machine learning type
Generate RAG-based function invocations wrapping the API created above and create embeddings for your training data
Catching! You've got the ability to use your voice to literally speak to your CSV file, and extract data on demand

The entire process is based upon no-code, and I need to emphasise that this is not RAG, it's querying your CSV file as structured data using SQL beneath the hood. Below are some example use cases.

Research and science

Scientists often gather data in tabular form. This data can be exported as CSV files, allowing you to ask questions towards your data such as.

What's the top 5 countries on earth with the highest average life expectancy?
How many hurricanes did we encounter in 2023?
What was the average temperature in Alaska in December of 2019?

Marketing and sales

Marketing professionals prides themselves in trusting the data, allowing them to execute upon higher quality conclusions. You could imagine your CMO asking questions such as.

What's our best performing channel?
How much did we pay per impression for LinkedIn in January?
List the top 5 performing sales executives

Financial information

Your CFO might find this valuable to be able to calculate KPIs based upon financial information. By combining the CSV file with AINIRO's ability to also generate charts and reports, such information can be rapidly retrieved using natural language. Below are some examples.

How much revenue did we have in October?
What's the average salary for sales executives?
Generate a report based upon our 3 most important KPIs and create a chart for Q4 of 2024

Wrapping up

By being able to handle arguably infinite amounts of CSV data, using an SQL database instead of just uploading your CSV file as raw data - New use cases emerges that can significantly optimise your existing processes and teams. At AINIRO we're at the front of this new technology, able to deliver solutions that just some few years ago would be seen as science fiction.

We have delivered systems such as the above for clients of us all over the world, and we'd love to help you out with your requirements. If you want to discuss such opportunities with us, you can book a meeting here.

Have a Custom AI Solution

At AINIRO we specialise in delivering custom AI solutions and AI chatbots with AI agent features. If you want to talk to us about how we can help you implement your next custom AI solution, you can reach out to us below.