Papr.ai API Combines RAG and Memory for AI Agents with 91%+ Retrieval Accuracy
By
fmerian
Sat on the counter overnight. Well past its best.
Summary
Papr.ai is an AI API that combines retrieval-augmented generation (RAG) with memory capabilities to reduce AI hallucinations and enable personalized agents. It features a predictive engine that structures context into both vector indexes and knowledge graphs, queryable via GraphQL or natural language. The platform offers built-in access controls for data privacy and multi-tenancy, and is available in both open-source and cloud editions. It achieved top ranking on Stanford's STaRK benchmark with over 91% retrieval accuracy and sub-100ms response times.
Key quotes
· 5 pulledRanked #1 on Stanford's STaRK benchmark with 91%+ retrieval accuracy and <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
With built-in ACLs and permission controls, data stays private and multi-tenant
Available in open-source for a local version or cloud edition
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