Embedding Model Serving

Why it matters

Embedding serving powers RAG + search. High throughput needed.

The architecture

Input → tokenizer → transformer → pooled vector.

Batch aggressively.

How it works end to end

bge, e5, jina embeddings.

OpenAI text-embedding-3.

Cohere embed.