Microeconomic Chatbot

Overview

Microeconomic Chatbot is an open-source chatbot designed for answering microeconomics-related questions using a Retrieval-Augmented Generation (RAG) pipeline. This project is a demonstration of local LLM use cases, built on Kolosal AI to showcase its capabilities in providing accurate and context-aware answers.

Features

• 🚀 Utilizes Kolosal AI for retrieval and response generation (since we made Kolosal AI, this highlights our technology).
• 📚 RAG-based Approach: Uses document retrieval to enhance response quality.
• 🔄 Runs Locally: No external API calls required.
• 🖥️ Docker-Ready: Quick setup with Docker.
• 🆓 Open Source: Licensed under Apache 2.0, so anyone can use and modify it.

Prerequisites

Before running the chatbot, ensure you have the following installed:

• Docker: Install Docker from here.
• Kolosal AI: Install Kolosal AI, an open-source platform for training and running your own models.

Getting Started

Follow these steps to set up and run the chatbot using Docker.

1️⃣ Clone the Repository

git clone https://github.com/FarrelRamdhani/Microeconomic-Chatbot.git
cd microeconomic-chatbot

2️⃣ Build the Docker Image

docker build -t microeconomic-chatbot .

3️⃣ Run the Chatbot Container

docker run -p 8501:8501 microeconomic-chatbot

4️⃣ Access the Chatbot

Once the container is running, open your browser and go to:

http://localhost:8501/

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

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👥 Contributions Welcome! If you’d like to improve this chatbot, feel free to fork the repo and submit a pull request! 🚀