ToolsAugust 21, 2026via Hugging Face Blog
How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code
Why it matters
A case study in using Hugging Face's managed inference, job scheduling, and storage services to power semantic search at scale. Practitioners building similar search or retrieval systems can learn the architecture and trade-offs.
Key signals
- Papers with Code migrated search to Hugging Face Inference Endpoints + Jobs + Buckets
- Use case: semantic search over academic papers and code
- Demonstrates managed inference + async jobs + object storage integration
- Architecture applicable to enterprise search and retrieval systems
- Published as technical blog post with implementation details
- Papers with Code integrated Hugging Face Inference Endpoints for search
- Uses Hugging Face Jobs and Buckets for infrastructure
- Focus is on search capability powering research discovery
- Published Aug 2026 — infrastructure partnership/integration story
- Hugging Face positioning as enabler of research tooling
The hook
Papers with Code just rebuilt its search engine on Hugging Face infrastructure—here's how practitioners can use the same stack.