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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.
PaprPredictive memory and context intelligence API for AI Agents
Rony Ferzlileft a comment
Hi Product Hunt! 👋 I'm Rony, one of the makers of Papr. I wanted to share a bit about the technical journey that led us to build what we believe is the most accurate memory and retrieval system available today. The Technical Challenge When we started building Papr, we discovered that existing retrieval systems weren't cutting it for real-world queries. Most solutions excel at finding exact...
Papr.aiAI-native docs with infinite memory
Papr is the first AI-native workspace with infinite memory, powered by state-of-the-art retrieval accuracy. Stop losing context across tools—Papr remembers everything from Slack, docs, and meetings. Teams work better, 3x faster. Your AI never forgets.
Papr.aiAI-native docs with infinite memory