From the source
Hugging Face describes how they use Inference Endpoints, Jobs, and Storage Buckets to build a hybrid search system for Papers with Code, using the Qwen/Qwen3-Embedding-0.6B model for embeddings.
How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code
From the source
We deliberately split search into an offline corpus build and an online search service: The expensive, throughput-oriented work runs as Jobs. Durable artifacts live in a Bucket. Only the small query-embedding step sits on the request path, behind a protected Inference Endpoint, to power the online search.
huggingface.co
