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LLM-Powered CSV Interpreter

Unlock the insights within your CSV files using natural language!

Overview

This repository houses a powerful tool that seamlessly blends natural language processing and CSV parsing capabilities. It harnesses the strength of a large language model (LLM) to interpret your CSV files, enabling you to interact with them in a natural, conversational manner.

Key Features

Natural Language Queries: Ask questions about your CSV data in plain English, like "What's the average sales revenue in June?" or "Which customers have placed more than 5 orders?" Contextual Understanding: The LLM grasps the relationships between columns and values, providing precise and insightful answers. Flexible Interaction: Engage with your data through various prompts and queries, exploring its nuances freely. Adaptable to Diverse Domains: The interpreter adjusts to various CSV formats and content domains, making it applicable across different industries and use cases.

Getting Started

  1. Clone the Repository:
git clone https://github.com/[your-username]/LLM-Powered-CSV-Interpreter.git
  1. Install Dependencies: The needed dependencies are installed when the first code block is run.

Working

To be added.

Contributing

We welcome contributions to this project! Open an issue and we will follow up with you.

Contact

For any questions or feedback, feel free to reach out: jeromjomanthara@gmail.com

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Using LLM to answer questions about the data present in a csv

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