Turn any website into a highly searchable vector database instantly. PageIndex simplifies RAG pipelines for dynamic web content.
Semantic Search for the Entire Internet
Retrieval-Augmented Generation (RAG) is only as good as the data you feed it. PageIndex by VectifyAI is a powerful open-source tool designed to instantly crawl, parse, embed, and index dynamic web pages for lightning-fast semantic retrieval.
An abstract visualization of web pages being transformed into mathematical vectors in a high-dimensional space.
Overcoming Traditional Web Scraping
Standard web scrapers grab raw HTML, which is full of noisy tags, navigation menus, and footers that confuse AI models. PageIndex utilizes smart heuristics to extract only the core content.
- Intelligent Chunking: Breaks down long articles into context-aware chunks so vectors remain semantically dense.
- Headless Browser Support: Executes JavaScript to capture Single Page Applications (SPAs) built with React or Vue.
- Automated Sync: Monitors target websites for changes and updates the vector database in real-time.
# Quickstart CLI
npm install -g @vectifyai/pageindex
pageindex crawl https://docs.example.com --output ./vectors.db
