EMBEDDING MILLIONS OF TEXT DOCUMENTS WITH QWEN3

Summary from the TLDR Web Dev newsletter

The Qwen3-Embedding-0.6B model can be used to embed millions of text documents, with near-100% GPU utilization. The process involves reading documents from S3, chunking them into sentences using spaCy, generating embeddings with Qwen3, and writing results to turbopuffer.