Portfolio Chatbot API

A production-grade, RAG-enabled chatbot API for Dharaneeshwar's portfolio. Powered by Google Gemini and built for Vercel Serverless.

🚀 Quick Start

1. Install dependencies:

   npm install

2. Set up environment variables: Create a .env file based on the Environment Variables Guide.

3. Run local development server:

   npm start

🛠 Tech Stack

• AI Model: Google Gemini (gemini-1.5-flash / gemini-3.1-flash-lite-preview)
• Framework: Vercel Serverless (Node.js runtime)
• Language: TypeScript
• AI SDK: Vercel AI SDK
• Alerts: Resend (email notifications on failure)

📁 Project Structure

• api/: Vercel Serverless Function entry points.
• src/utils/: Core logic for query classification and context building.
• src/data/: Structured resume data used for RAG.
• README/: Detailed documentation folder.

📜 Documentation

For more specific details, please see the following guides in the README folder:

• Architecture & RAG Flow
• API Specification
• Environment Variables
• Deployment Guide

👤 Author

Dharaneeshwar Shrisai Kumaraguru
Website | LinkedIn | GitHub