HybridRAG MemoryOperating System
Enterprise context orchestration layer for AI agents. HybridRAG architecture delivers 450x faster retrieval with user-defined specialization andsub-1.8s fact retrieval.
Performance That Speaks for Itself
Independent benchmarks show Vrin consistently outperforms competitors in every critical metric
Fact Retrieval Speed
Storage Efficiency
Expert Validation
Multi-hop Reasoning
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See VRIN in Action
Watch how VRIN transforms AI applications with persistent memory, user-defined specialization, and expert-level reasoning.
User-Defined Experts
Transform any LLM into a domain specialist
Persistent Memory
40-60% storage optimization without information loss
Sub-20s Analysis
Multi-hop reasoning for expert insights
DIY RAG: Cheap Infra, Expensive Headcount
Most teams underestimate the true cost of building production-ready RAG. Vector-only solutions miss critical capabilities like multi-hop reasoning, temporal awareness, and explainable AI—requiring months of engineering effort to reach basic functionality.
What You Still Don't Get:
What's Included Out-of-the-Box:
🎯 Exclusive Capabilities:
- • User-Defined AI Specialization - Custom expert prompts
- • Multi-Hop Reasoning - Cross-document synthesis
- • Temporal Knowledge Graph - Bi-temporal fact storage
- • Smart Deduplication - 40-60% storage optimization
ROI Reality Check
Typical enterprise savings with VRIN
Plus: Faster time-to-market, higher quality results, and expert-level analysis capabilities
Why Enterprise AI Falls Short
Traditional AI systems lose context and struggle with domain expertise. VRIN's revolutionary architecture solves this with persistent memory and user-defined specialization.
Traditional AI Limitations
No Domain Expertise
Generic responses lack specialized knowledge required for professional analysis
Context Amnesia
AI forgets critical information between sessions, requiring manual context rebuilding
Inefficient Processing
Hours wasted re-feeding context and waiting for superficial analysis
VRIN's HybridRAG Solution
User-Defined AI Experts
Transform any LLM into a domain specialist with custom prompts and reasoning focus
Persistent Memory
Facts-first architecture stores knowledge efficiently with 40-60% space reduction
Sub-20s Expert Analysis
Multi-hop reasoning delivers professional-grade insights in seconds, not hours
What is Vrin
A HybridRAG context & memory layer that routes across graph/vector, writes typed facts with provenance, and composes domain-specific reasoning via user specializations.
Adaptive Hybrid Retrieval
NLP-powered entity extraction → graph lookup via Neptune → vector search in OpenSearch → intelligent fusion with sub-1.8s response times.
Multi-hop Reasoning Engine
Cross-document synthesis with causal chains, temporal analysis, and contradiction detection across 5+ reasoning types. Achieves 8.5/10 expert-level performance.
User-Defined Specialization
Per-tenant expert configuration with custom prompts, confidence thresholds, analysis depth settings (surface/detailed/expert), and domain-specific reasoning chains.
Idempotent Ingestion
Content hash-based deduplication + semantic similarity checking delivers documented 40-60% storage reduction with confidence-scored fact updating.
Production Monitoring
Comprehensive logging, response time tracking, storage optimization monitoring, and AWS CloudWatch integration for production reliability.
Proven Across Industries
Vrin's memory orchestration platform delivers value across diverse sectors, with specialized demos and case studies.
Healthcare
Transform patient care with persistent memory for clinical conversations, treatment history, and care coordination.
Finance
Enhance financial AI with persistent memory for client relationships, transaction history, and regulatory compliance.
Legal
Revolutionize legal AI with memory for case histories, precedent tracking, and client communication context.
Healthcare Industry Demo
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
Beyond Traditional RAG Systems
VRIN's hybrid architecture combines the best of vector search and graph traversal, enhanced with user-defined specialization for unmatched domain expertise.
Traditional RAG
- • Vector-only retrieval
- • No domain specialization
- • Limited context understanding
- • 68.18 F1 performance
Graph RAG
- • Graph-only traversal
- • Better for multi-hop queries
- • Still lacks specialization
- • 71.17 Acc on complex tasks
VRIN Hybrid
- • Intelligent query routing
- • User-defined AI experts
- • Multi-hop reasoning
- • 71.17+ Acc with specialization
What Makes VRIN Revolutionary
Three breakthrough innovations that transform AI from generic to expert-level performance
Smart Query Routing
AI automatically detects query complexity and routes to optimal retrieval method
Domain Specialization
Transform any LLM into a domain expert with custom prompts and reasoning focus
Facts-First Storage
Memory-efficient architecture stores only essential facts with 40-60% space reduction
The Future of LLM Memory: Facts-First Architecture
While others store entire episodes, we extract and store only the intelligence that matters. This breakthrough creates unprecedented cost savings and performance gains.
Traditional Approach: Brute Force Storage
Store Full Episodes
Complete patient conversations, legal documents, financial records
Massive Storage Costs
Exponential scaling of storage and retrieval costs
Slow Context Parsing
Minutes wasted searching through irrelevant information
Vrin's Facts-First Architecture
Extract Key Facts & Relationships
AI automatically identifies and stores only critical information
90% Storage Reduction
Memory-efficient vector storage with zero information loss
Dynamic Knowledge Graphs
Built on-demand from stored facts for perfect context
Architecture Comparison: Traditional vs HybridRAG
Technical analysis of different RAG pipeline architectures, comparing performance, limitations, and architectural components across three distinct approaches.
Traditional RAG Pipeline
Standard vector-based retrieval with limited context understanding and no domain specialization.
System Architecture
Graph RAG Pipeline
Relationship-based traversal system optimized for multi-hop queries but lacks user-defined specialization.
System Architecture
VRIN HybridRAG Pipeline
Intelligent query routing with user-defined AI experts, combining vector search and graph traversal.
System Architecture
Architecture Performance Summary
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 | <20s | User-Defined | Advanced |
Seamless Integration
Drop Vrin into your existing stack with simple APIs. No complex setup or migration required.
LLM Providers
OpenAI, Anthropic, Cohere, Google AI
Frameworks
LangChain, LlamaIndex, AutoGPT
Cloud
AWS, Azure, GCP, Vercel
Enterprise
Salesforce, SAP, ServiceNow
Production-Ready SDK
Get started in minutes with VRIN SDK v0.3.3. Production endpoints, enterprise authentication, and user-defined AI specialization built-in. No complex configuration required.
Install SDK
Get started with VRIN SDK v0.3.4 in seconds
pip install vrin==0.3.4Latest stable version with enhanced multi-hop reasoning
Initialize Client
Simple setup with production-ready authentication
from vrin import VRINClient
# Production endpoints built-in
client = VRINClient(api_key="vrin_your_api_key")No base_url needed - production APIs hardcoded
Configure Expert
Define custom AI specialization for your domain
# Define YOUR custom expert
custom_expert = """
You are a senior M&A legal partner with 25+ years experience.
Focus on risk quantification, cross-document synthesis,
and strategic recommendations with dollar amounts.
"""
# Configure VRIN with YOUR expert
result = client.specialize(
custom_prompt=custom_expert,
reasoning_focus=["cross_document_synthesis", "causal_chains"],
analysis_depth="expert",
confidence_threshold=0.8
)Revolutionary user-defined specialization - no rigid templates
Insert Knowledge
Smart deduplication with 40-60% storage reduction
# Insert with expert processing
result = client.insert(
content="Your document content here...",
title="Strategic Analysis Report",
tags=["analysis", "strategic", "legal"]
)
print(f"Facts extracted: {result['facts_extracted']}")
print(f"Storage efficiency: {result['storage_details']}")
print(f"Expert validated: {result['expert_validated']}")Intelligent deduplication and confidence scoring
Expert Query
Multi-hop reasoning with professional insights
# Query with expert analysis
response = client.query(
"What are the strategic risks in this M&A transaction?"
)
# Expert-level response with reasoning
print(f"Expert analysis: {response['summary']}")
print(f"Reasoning chains: {response['multi_hop_chains']}")
print(f"Cross-doc patterns: {response['cross_document_patterns']}")
print(f"Search time: {response['search_time']}") # Typically <20sSub-20s expert analysis with multi-hop reasoning
Enterprise-Grade Features
Built for production with enterprise security, scalability, and performance
Production APIs
Built-in production endpoints with 99.9% uptime SLA
Expert Specialization
User-defined AI experts - no rigid templates
Multi-hop Reasoning
Cross-document synthesis with relationship traversal
Smart Deduplication
40-60% storage reduction through intelligent optimization
Enterprise Security
JWT authentication, user isolation, audit logging
Performance Optimized
Sub-20s expert queries with production monitoring
Production Performance
Validated metrics from enterprise deployments
Complete multi-hop analysis
Space reduction achieved
Performance vs professionals
Cross-document reasoning
Works with Your Stack
Choose Your Intelligence Level
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
What's Included:
- 100k chunks / 100k edges
- 5k queries/month
- Shared HybridRAG infrastructure
- Basic memory & CBOM
- API key authentication
- CSV/S3 connectors
- Community support
For growing teams that need dedicated infrastructure
What's Included:
- 2M chunks / 3M edges
- 100k queries/month
- Dedicated indices
- Full CBOM & TTL
- Basic RBAC
- + Postgres/Drive connectors
- Email support (48h SLA)
- Extra storage/queries available
For enterprises requiring security and compliance
What's Included:
- 10M chunks / 15M edges
- 500k queries/month
- Dedicated + VPC peering
- Full + compliance exports
- SSO/SAML + SCIM
- + Slack/Jira/Confluence
- Priority support (8-12h SLA)
- Compliance exports, private LLM
Custom solution for large-scale deployments
What's Included:
- Custom (100M+ chunks; 150M+ edges)
- Custom queries (SLA'd)
- Private/VPC or on-premises
- Full + auditor packs
- SSO/SAML, SCIM, data residency
- All + custom connectors
- Dedicated TAM & DSE
- On-prem, managed upgrades
All Plans Include
Revolutionary capabilities that set VRIN apart
Core Intelligence
- • User-defined AI specialization
- • Multi-hop reasoning across documents
- • Smart deduplication (40-60% savings)
- • Temporal knowledge graphs
- • Lightning-fast fact retrieval (<1.8s)
Enterprise Features
- • Complete audit trails
- • Explainable AI responses
- • High-confidence fact extraction
- • Cross-document synthesis
- • Production-grade security
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.