HybridRAG retrieval with multi-hop reasoning and citations
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Vector search was a breakthrough—until teams realized it's just expensive keyword matching. While you're building custom RAG systems for months, your AI still can't connect the dots.
Why traditional AI fails teams
Knowledge workers waste 20-30% of their time re-explaining context that AI should already know
Fragmented information across 20+ disconnected tools means your AI starts every conversation from scratch. Teams spend hours searching instead of solving.
Traditional RAG retrieves similar text but can't connect insights across documents or reason through complex questions
Custom RAG systems take 6-12 months to build, require specialized ML talent, and still underperform production-ready platforms
VRIN's knowledge graph extracts and stores facts, not embeddings. Your AI builds a persistent understanding that compounds over time—remembering relationships, user preferences, and domain expertise across all interactions. Unlike vector search that forgets everything, VRIN creates institutional memory that gets smarter with every conversation.
Persistent knowledge across all conversations
Memory-efficient storage with space reduction
VRIN combines the speed of vector search with the intelligence of graph traversal. Our constraint-solver engine automatically reasons across multiple documents, time periods, and data sources to answer complex questions that require connecting the dots. Define AI specialists for your domains—sales, engineering, finance—and get expert insights, not surface matches.
Advanced multi-hop reasoning capabilities
Expert-level analysis from connected data
VRIN deploys in your cloud (AWS, Azure, GCP) or ours—your choice with BYOC/BYOK. Simple REST APIs integrate with your existing stack in hours. No data migration, no vendor lock-in, no infrastructure headaches. We handle the complexity of hybrid retrieval, temporal consistency, and conflict resolution so you can focus on building features your users love.
Production-ready in minutes, not months
Compared to traditional DIY approaches
Watch how VRIN transforms AI applications with persistent memory, user-defined specialization, and expert-level reasoning.
VRIN's HybridRAG architecture transforms fragmented information into persistent, intelligent memory.
Universal Data Integration
VRIN ingests from any source—APIs, databases, documents, conversations, Slack threads, customer tickets. No complex ETL pipelines. No data movement. Just simple REST API calls that work with your existing infrastructure.
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
VRIN's hybrid architecture combines the best of vector search and graph traversal, enhanced with user-defined specialization for unmatched domain expertise.
Technical analysis of different RAG pipeline architectures, comparing performance, limitations, and architectural components across three distinct approaches.
Standard vector-based retrieval with limited context understanding and no domain specialization.
Relationship-based traversal system optimized for multi-hop queries but lacks user-defined specialization.
Intelligent query routing with user-defined AI experts, combining vector search and graph traversal.
Comparative analysis across key performance metrics
| Architecture | Accuracy | Speed | Specialization | Multi-hop | 
|---|---|---|---|---|
| Traditional RAG | 68.18 F1 | ~2-5s | None | Limited | 
| Graph RAG | 71.17 Acc | ~5-10s | None | Good | 
| VRIN HybridRAG | 71.17+ Acc | <1.8s | User-Defined | Advanced | 
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.