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Papr

December 8, 20250 comments

Ranked #1 on Stanford’s STaRK benchmark with 91%+ retrieval accuracy and fast at under 100ms, Papr unifies RAG + memory in one API that reduces AI hallucinations and powers personalized agents. Papr’s predictive engine links and structures context into a vector index + knowledge graph you can query with GraphQL or natural language—great for agents and analytics UIs. With built-in ACLs and permission controls, data stays private and multi-tenant. Available in open-source or cloud edition.

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