https://github.com/aysh2603/aham-chatbot
This repository contains the code for a Retrieval-Augmented Generation (RAG) Chatbot Application. The application leverages a combination of React, FAST API, ChromaDB, and Langchain to provide a seamless and interactive chat experience, augmented with knowledge retrieval capabilities.
https://github.com/aysh2603/aham-chatbot
chatbot chromadb fastapi langchain openai-api react
Last synced: 2 months ago
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This repository contains the code for a Retrieval-Augmented Generation (RAG) Chatbot Application. The application leverages a combination of React, FAST API, ChromaDB, and Langchain to provide a seamless and interactive chat experience, augmented with knowledge retrieval capabilities.
- Host: GitHub
- URL: https://github.com/aysh2603/aham-chatbot
- Owner: aysh2603
- Created: 2024-08-16T18:15:05.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-23T21:53:35.000Z (almost 2 years ago)
- Last Synced: 2025-01-24T01:44:04.644Z (over 1 year ago)
- Topics: chatbot, chromadb, fastapi, langchain, openai-api, react
- Language: CSS
- Homepage: https://aham-chatbot.vercel.app
- Size: 685 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AHAM - RAG Chat Application
This repository contains the code for a Retrieval-Augmented Generation (RAG) Chatbot Application. The application leverages a combination of React, FAST API, ChromaDB, and Langchain to provide a seamless and interactive chat experience, augmented with knowledge retrieval capabilities.
## Features
- **Retrieval-Augmented Generation (RAG):** The chat application combines the power of retrieval-based models and generative models to provide accurate and context-aware responses.
- **Knowledge Base Integration:** The app is connected to a knowledge base, enabling it to retrieve relevant information and provide informed answers.
- **Frontend:** Built with React, the user interface is designed to be responsive and user-friendly.
- **Backend:** Powered by FAST API, ensuring fast and efficient API responses.
- **Database:** ChromaDB is used for managing the knowledge base, providing high-performance search and retrieval.
- **Language Processing:** Langchain is integrated for advanced language model capabilities, enabling complex query handling and natural language understanding.
## Setup and Installation
1. Clone the Repository
```bash
git clone https://github.com/aysh2603/rag_chat_app.git
```
```bash
cd rag_chat_app
```
2. Add your OPENAI API KEY in .env file
3. Backend Setup
- Navigate to the Backend Directory
```bash
cd rag_backend
```
```bash
cd rag_chatbot
```
- Installing the Python dependencies
```bash
pip install -r requirements.txt
```
- Start the FAST API Server
```bash
uvicorn app2:app --reload
```
4. Frontend Setup
- Navigate to the Frontend Directory
```bash
cd rag_frontend
```
- Start the React server
```bash
npm install
```
```bash
npm start
```