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pandas-ai

21,993
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Python

Project Description

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

pandas-ai: Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversat

Project Title

pandas-ai — Conversational Data Analysis with Large Language Models and RAG

Overview

PandasAI is a Python platform that enables users to interact with their data using natural language, making data analysis more accessible for non-technical users and saving time for technical users. It leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to facilitate this conversational interface with databases and data lakes.

Key Features

  • Natural language interaction with data
  • Supports SQL, CSV, and Parquet formats
  • Integration with Jupyter notebooks and Streamlit apps
  • Client and server architecture for broader application

Use Cases

  • Non-technical users can query databases without writing SQL queries
  • Data scientists can quickly analyze data and generate insights
  • Business analysts can perform ad-hoc data analysis through conversation

Advantages

  • Simplifies data analysis by removing the need for complex query languages
  • Saves time for technical users by automating data retrieval and analysis
  • Enhances data accessibility and usability for a broader audience

Limitations / Considerations

  • Requires an understanding of the data structure for effective questioning
  • May have limitations with very large datasets or complex queries
  • Dependent on the performance and capabilities of the underlying LLMs

Similar / Related Projects

  • DBChat: A similar project that allows natural language queries on databases, differing in its approach and specific implementation details.
  • DataChat: Another tool for conversational data analysis, which may have different supported data formats or integrations.
  • Chata.ai: A competing project that also uses AI to enable natural language interaction with databases, with potential differences in features and performance.

Basic Information

Requirements:

  • Python version 3.8+ <3.12 for optimal compatibility.

📊 Project Information

🏷️ Project Topics

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📚 Documentation


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Project Information

Created on 4/22/2023
Updated on 9/8/2025