Hugging Face has detailed how its Inference Endpoints, Jobs, and Buckets services are integral to the search functionality on Papers with Code. The system employs a hybrid search approach, combining keyword and vector-based search for enhanced accuracy and semantic understanding. This architecture leverages PostgreSQL with pgvector for dense embeddings and uses Reciprocal Rank Fusion (RRF) to merge results from both methods. AI
IMPACT Enhances accessibility of AI research by improving search capabilities for researchers and agents.
RANK_REASON Blog post detailing the technical implementation of a search feature using specific company products.
- arXiv
- Buckets
- Hugging Face
- Inference Endpoints
- Jobs
- Papers with Code
- pgvector
- PostgreSQL
- Qwen/Qwen3-Embedding-0.6B
- Reciprocal Rank Fusion
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