Papr stands out as a leading solution, ranked #1 on Stanford's STaRK benchmark with an impressive 91%+ retrieval accuracy and sub-100ms response times. It uniquely unifies Retrieval Augmented Generation (RAG) and memory within a single API, significantly reducing AI hallucinations and powering highly personalized agents. Papr's predictive engine intelligently links and structures context into a sophisticated vector index and knowledge graph, which you can query using either GraphQL or natural language. This makes it an exceptional choice for developing advanced agents and dynamic analytics UIs. With built-in Access Control Lists (ACLs) and robust permission controls, your data remains private and supports multi-tenant environments securely. Papr is available in both an open-source version for local deployment and a feature-rich cloud edition to suit your infrastructure needs.
Launch Team / Built with
Launch Date:
May 22, 2026