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Papr Graph

Papr Graph is a graph-native embedding API that transforms semantic embeddings with one API call, encoding temporal, topical, and other dimensions to improve AI agent retrieval accuracy. Ranked #1 on Stanford's STaRK benchmark with 91%+ accuracy and <100ms latency, it reduces hallucinations and powers personalized agents.

SourceProduct Hunt AIAuthor: fmerian
Papr Graph
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Key points and analysis

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Key points

  • Transforms semantic embeddings into graph-native embeddings with one API call
  • Ranked #1 on Stanford STaRK benchmark with 91%+ retrieval accuracy
  • Encodes structured signals like time, topic, and intent for context-aware ranking
  • Available as open-source local version and cloud edition with built-in ACLs

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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