Knowledge Graph - Historic Art

This project implements a Knowledge Graph for historic art using Neo4j and Next.js.

Getting Started

1. Prerequisites

• Node.js (v18+)
• Neo4j Database (Desktop or Aura)

2. Installation

bun install

3. Environment Setup

Create a .env file in the root directory (copy from .env.example):

cp .env.example .env

Fill in your Neo4j credentials and Google Gemini API Key in .env:

NEO4J_URI=bolt://localhost:7687
NEO4J_USER=neo4j
NEO4J_PASSWORD=your_password
GOOGLE_GENERATIVE_AI_API_KEY=your_google_ai_key

4. Database Seeding & Enrichment

Populate your Neo4j database with the initial dataset:

bun run seed

Enrich the data with Wikidata relations:

bun run enrich

Generate vector embeddings for semantic search and chatbot:

bun run embed

5. Run the Application

Start the development server:

bun run dev

Open http://localhost:3000 with your browser.

Features

• Knowledge Graph: Explore artists and artworks connected by relationships.
• Semantic Search: Search by meaning, not just keywords.
• Museum Guide Chatbot: Ask questions about the collection and get AI-generated answers based on the database.
• Interactive Visualization: Visual graph of artist connections.