RAG Chatbot Backend

A real-time intelligent chatbot backend powered by Retrieval-Augmented Generation (RAG) using Redis for chat storage, Qdrant for vector search, and Google Gemini AI for intelligent responses.

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🚀 Features

• Real-time Chat – WebSocket communication with Socket.io
• RAG Integration – Retrieval-Augmented Generation for intelligent answers
• Vector Search – Qdrant vector DB for semantic similarity search
• AI-Powered – Google Gemini Pro for response generation
• Chat History – Redis-based message storage and retrieval
• Session Management – UUID-based chat sessions
• News Integration – RSS parsing for article ingestion
• RESTful API – Express.js endpoints
• Real-time Communication – WebSocket support for instant messaging

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🛠️ Tech Stack

• Runtime: Node.js
• Framework: Express.js v5.1.0
• Real-time: Socket.io v4.8.1
• Database: Redis v5.8.2 (chat storage)
• Vector DB: Qdrant Cloud v1.15.1
• AI Models:
  • Google Gemini Pro v0.24.1 (text generation)
  • Jina AI (text embeddings)
• HTTP Client: Axios v1.12.1
• Web Scraping: Cheerio v1.1.2
• RSS Parsing: RSS-Parser v3.13.0
• UUID Generation: UUID v13.0.0

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📋 Prerequisites

Before running this project, make sure you have:

• Node.js (v18 or higher)
• Yarn or npm package manager
• Redis server running locally
• Qdrant Cloud account & API key
• Google Gemini API key
• Jina AI API key

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🔧 Installation

1. Clone the repository

git clone https://github.com/raushanapp/raag-chat-boot-backend.git
cd raag-chat-boot-backend

Dependencies

# or
npm install

Set up environment variables

REDIS_URL=redis://localhost:6379
GEMINI_API_KEY=your-google-gemini-api-key-here
JINA_API_KEY=your-jina-ai-api-key-here
QDRANT_URL=https://your-qdrant-cloud-url:6333
QDRANT_API_KEY=your-qdrant-api-key-here
FRONTEND_URL=http://localhost:5173

Quick start

yarn dev           # Start backend server

Both start

Redis Management

yarn redis:stop

yarn redis:restart

yarn redis:status

yarn redis:ping

API Endpoints

Create New Session

curl -X POST http://localhost:4009/api/chat/session
Response :
{
  "sessionId": "550e8400-e29b-41d4-a716-446655440000"
}

Get Chat History

Response:
{
  "message": [
    {
      "type": "user",
      "message": "Hello",
      "timeStamp": "2025-09-14T08:00:00.000Z"
    },
    {
      "type": "bot",
      "message": "Hi! How can I help you?",
      "timeStamp": "2025-09-14T08:00:05.000Z"
    }
  ]
}

Clear Chat Session

Response:
{
  "message": "Session cleared successfully"
}