One post tagged with "Embeddings"

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