Direa AI Chat Bot

Overview

This repository contains a project that utilizes LangChain and Streamlit to build a Retrieval Augmented Generation (RAG) application. The primary focus of this application is to provide insights and answers based on the DireaWiki

Features

• LangChain Integration: Utilizes LangChain to manage and interact with language models effectively.
• Streamlit Interface: A user-friendly web interface created with Streamlit for seamless interaction.
• Retrieval Augmented Generation (RAG): Combines retrieval-based techniques with generative models to produce accurate and context-aware answers.
• Knowledge Base: Focuses on the DireaWiki as the primary knowledge base.
• Chat History: Maintains a history of user interactions to provide contextually relevant answers.
• Few-Shot Learning Templates: Enhances the model's responses by using predefined templates for better accuracy and consistency.

Installation

1. Clone the repository:

git clone https://github.com/JungHyunMoon/rag-chat-bot.git
cd rag-chat-bot

2. Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate

3. Install the required dependencies:

pip install -r requirements.txt

Usage

1. Run the Streamlit application:

streamlit run chat.py

2. Open your web browser and navigate to the displayed local URL to interact with the application.