Navigator AI

Navigator AI is a project that uses PostgreSQL with the pgvector extension to store and search web page data and their relationships using vector embeddings.

Features

• Stores web pages with content and vector embeddings
• Tracks relationships between pages
• Uses pgvector for efficient vector search

Getting Started

Prerequisites

• Docker and Docker Compose
• Ollama
• Node.js (for running scripts in src/)

Setup

1. Clone the repository.
2. Copy .env.example to .env and set your environment variables.

Usage

• Add or crawl pages using scripts in src/.

npm run crawler -- https://overreacted.io

• Query and search using vector embeddings.

npm run search "two computers"

Database

• Uses PostgreSQL with the pgvector extension.
• Schema is defined in sql/schema.sql.

License

This project is licensed under the MIT License - see the LICENSE file for details.