Building Vectorize, a distributed vector database, on Cloudflare’s Developer Platform
Oct 22, 2024Jérôme Schneider, Alex Graham

Summary
This post details the technical architecture and implementation of Vectorize, a new globally distributed vector database built on Cloudflare's Developer Platform. It explains the core concepts of vector databases, the challenges of high-dimensional data, and the specific techniques used in Vectorize, including Inverted File Index (IVF) for pruning the search space, Product Quantization (PQ) for vector compression, and a result refinement pass for accuracy. It also describes the eventual consistency model and the use of R2 and Durable Objects for storing and managing index data and the write-ahead log.
More from the Artificial Intelligence Integration & Impact trail
- Introducing Clef-omni with full multimodality, plus a faster Clef and a cheaper Clef-flash
- Introducing Web Search API via AI Gateway
- Introducing Clef: our open-source decision models, and new RL fine-tuning platform
- One year later: Sovereign AI and the fight for choice
- AI Search is now generally available