The challenges of creating a semantic memory layer on Cloudflare Workers, D1, and Vectorize.

The main concept is straightforward: embed text, store the vector, and query it later. The time-consuming part was everything else. I created a memory layer that maintains context across AI tools using Cloudflare Workers, D1, Vectorize, and Workers AI. All this operates on the free tier. Here’s what I didn’t realize at first. Two stores, kept strictly separate D1 stores structured entry data, including content, tags, timestamps, importance scores, and the exact vector IDs put into Vectorize. Vec