HybridRAG retrieval with multi-hop reasoning and per-claim citations
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Your company data lives in dozens of disconnected apps. No AI can see across all of them—until now.
Slack, Notion, Drive, Salesforce, Zendesk, Jira... Your team's knowledge is scattered across dozens of disconnected tools.
Most AI tools retrieve text snippets based on keyword matching. They find documents—but can't connect the dots. Complex questions that require tracing relationships across your data get fragments, not answers.
Custom RAG pipelines take 6-12 months, require ML expertise, and you'll still spend months building integrations. Your engineers should be shipping products, not infrastructure.

from vrin import VRINClient
# Initialize with your API key
client = VRINClient(api_key="vrin_...")
# Insert knowledge from your documents
client.insert(
content="Q4 roadmap includes...",
title="Product Roadmap 2025"
)
# Query with multi-hop reasoning
response = client.query("What's our Q4 roadmap?")
print(response["summary"]) # AI-generated answer
print(response["sources"]) # Source documentsWatch how VRIN transforms AI applications with persistent memory, user-defined specialization, and expert-level reasoning.
Three steps to answers your team can trust.
Your team's knowledge lives across dozens of tools — Notion, Slack, Google Drive, Confluence, SharePoint, and more. Vrin connects to your existing sources and ingests everything without requiring anyone to change how they work.
Vrin doesn't just index your files — it reads them. Every document is broken into entities, relationships, and timestamped facts, then woven into a graph that captures how your knowledge actually connects. Not keywords. Structure.

Ask questions, get cited answers from your knowledge base.
Ask anything — from simple lookups to questions that span multiple documents, teams, and time periods. Vrin reasons across your knowledge graph, connecting facts no single search result could surface. Every answer traces back to source documents.
Your team's knowledge lives across dozens of tools — Notion, Slack, Google Drive, Confluence, SharePoint, and more. Vrin connects to your existing sources and ingests everything without requiring anyone to change how they work.
Vrin doesn't just index your files — it reads them. Every document is broken into entities, relationships, and timestamped facts, then woven into a graph that captures how your knowledge actually connects. Not keywords. Structure.
Ask anything — from simple lookups to questions that span multiple documents, teams, and time periods. Vrin reasons across your knowledge graph, connecting facts no single search result could surface. Every answer traces back to source documents.

Ask questions, get cited answers from your knowledge base.
Teams choose VRIN because it transforms AI from forgetful assistants into expert systems with persistent memory and deep reasoning.
Knowledge graphs that store facts with provenance, not just embeddings. Build institutional memory that compounds over time.
Constraint-solver engine that traces relationships across documents and time to answer complex 'why' questions.
Define domain experts for sales, engineering, finance with custom reasoning patterns and knowledge focus areas.
Intelligent query analysis routes to optimal path: vector search for similarity, graph traversal for reasoning.
Deploy in your cloud or ours. Complete data sovereignty, zero vendor lock-in, enterprise-grade isolation.
Track how facts evolve over time with automatic conflict resolution and versioning for changing information.
Vrin's memory orchestration platform delivers value across diverse sectors, with specialized demos and case studies.
Transform patient care with persistent memory for clinical conversations, treatment history, and care coordination.
Enhance financial AI with persistent memory for client relationships, transaction history, and regulatory compliance.
Revolutionize legal AI with memory for case histories, precedent tracking, and client communication context.
Watch how VRIN transforms AI interactions with persistent memory in the Healthcare Industry.
See how VRIN enhances patient care with persistent clinical memory and specialized AI reasoning
Two pipelines, one unified knowledge engine. Documents are structured into an enterprise knowledge graph, then queries are reasoned over — not just searched.

Drop Vrin into your existing stack with simple APIs. No complex setup or migration required.
OpenAI, Anthropic, Cohere, Google AI
LangChain, LlamaIndex, AutoGPT
AWS, Azure, GCP, Vercel
Salesforce, SAP, ServiceNow
From individual developers to enterprise deployments, VRIN scales with your needs. All plans include our revolutionary user-defined AI specialization.
Perfect for developers and small teams getting started
For growing teams that need dedicated infrastructure
For enterprises requiring security and compliance
Custom solution for large-scale deployments
Revolutionary capabilities that set VRIN apart
Questions about pricing or need a custom solution?
ROI Guarantee: VRIN typically pays for itself within the first quarter through reduced engineering costs, faster time-to-market, and superior analysis quality.