One post tagged with "Step-by-Step Guide"

This is a step-by-step guide to building your first AI search engine using Cloudflare's Vectorize and Workers AI. It covers everything from setting up the environment to querying the vector database, with clear explanations and runnable code examples.

You'll see both paths:

1. Manual embeddings (Euclidean, 32‑dim vectors) for learning and quick demos.
2. AI embeddings (BGE Base, 768‑dim, cosine) using Workers AI, for real-world semantic search.

By the end, you’ll be able to seed your own index, query it via API, and understand exactly what’s going on.