Hugging Face
RAG and search

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

Our short summary of Hugging Face’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on huggingface.co (opens in a new tab)

Problem

Researchers struggled to find relevant papers quickly, especially with vague queries, typos, or missing keywords.

Solution

Created a hybrid search system that mixes fast keyword lookup with semantic vector embeddings, combines results with reciprocal rank fusion, and uses rerankers for better relevance.

Search covers over 110,000 papers

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on huggingface.co (opens in a new tab)

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