# Hugging Face — How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code

- Company: Hugging Face (huggingface.co)
- Announced: 2026-08-21T00:00:00+00:00
- Subject: Platform
- Source: https://huggingface.co/blog/pwc-search
- Record: https://forck.live/items/4395-how-hugging-face-inference-endpoints-jobs-and-buckets-power-search-on-papers

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.

## Evidence

Verbatim from https://huggingface.co/blog/pwc-search:

> 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.

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Record: https://forck.live/items/4395-how-hugging-face-inference-endpoints-jobs-and-buckets-power-search-on-papers
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