Production-Ready Text Embeddings with WebAssembly: WasmEdge + GGML
· 17 min read
Building production ML inference services that run anywhere—from Raspberry Pi to cloud edge—requires a different approach. This article walks through a complete implementation of a text embedding API using WasmEdge, GGML, and Rust, delivering a 136KB WASM module paired with a 1.8MB async HTTP server that processes embeddings in ~100-200ms per request.
Full implementation: github.com/porameht/wasmedge-ggml-llama-embedding