RAG BASED PDF Chat Bot

Backend : Node.js ,Express.js ,LangChain , Google Gemini AI, Multer

Frontend : React.js ,TailwindCSS ,Axios

Database : QdrantDB - Vector database running in Docker

1. Clone and Install npm install npm run install-all

2. Environment Setup Create environment files for both frontend and backend: backend GEMINI_API_KEY=your_gemini_api_key_here QDRANT_URL=http://localhost:6333 PORT=5000

frontend REACT_APP_API_URL=http://localhost:5000

3. Start QdrantDB (Vector Database) docker-compose up -d This will start QdrantDB on port 6333. You can verify it's running by visiting http://localhost:6333/dashboard

4. Run the Application npm run dev

5. Use the Application

6. Open your browser and go to http://localhost:3000

7. Upload a PDF file using file picker

8. Wait for processing (you'll see a success message)

9. Start asking questions about your PDF content

SAMPLE USAGE PDF Chat Bot Interface