VRIN Blog

Engineering & Research

Deep dives into knowledge reasoning architecture, benchmark results, and the technology powering enterprise AI.

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benchmarks
multi-hop-reasoning

Benchmark Results: 95.1% on MultiHop-RAG and 28% Better Than Academic SOTA on MuSiQue

We evaluated Vrin on two standard multi-hop reasoning benchmarks. The results: 95.1% accuracy on MultiHop-RAG (vs. 78.9% for GPT-5.2) and 28% improvement over HippoRAG 2 on MuSiQue. Here is exactly how we tested, what we found, and what it means.

Mar 23
12 min read
ai-agents
integration

One Integration, Hundreds of Deployments: Building AI Agents on Vrin

Vertical AI companies are embedding Vrin as the reasoning layer behind their agents. Here is how the architecture works, why data sovereignty scales per customer, and what the integration looks like in practice.

Mar 23
10 min read
knowledge-infrastructure
knowledge-reasoning

What Is Knowledge Reasoning Infrastructure?

RAG was built for retrieval, not reasoning. Knowledge Reasoning Infrastructure is the missing layer between your documents and your AI models, enabling multi-hop reasoning with traceable, auditable answers.

Mar 19
9 min read
vector-search
multi-hop-reasoning

Why Vector Search Fails for Multi-Document Questions

Vector search finds similar text. But enterprise questions require traversing relationships across documents, timelines, and entities. Here's why similarity isn't reasoning, and what actually works.

Mar 19
8 min read
reasoning
knowledge-graph

The Reasoning Gap: Why RAG Systems Fail and What Comes Next

Enterprise AI has a reasoning problem. RAG was built for retrieval, but enterprises need answers that require structured thinking across documents, timelines, and constraints. Here's how we're closing that gap.

Feb 17
15 min read
brainstorming
creativity

Why Enterprise AI Plays It Safe (And How We Built Controlled Creativity)

Enterprise AI tools suppress creativity to avoid hallucinations. We took a different approach: controlled creativity validated against your knowledge graph. The result? 11-25% better strategic ideas than Gemini 3 Pro and ChatGPT 5.2.

Jan 5
10 min read

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