Overview
Transform scattered documents into instant, intelligent answers
Turn your document repositories into an AI-powered knowledge assistant that understands questions, finds relevant information, and delivers accurate answers with source citations - in under 2 seconds.
The Problem
What Companies Face
Organizations struggle with knowledge access:
- Information Overload: Employees waste 2-3 hours daily searching for information
- Scattered Knowledge: Documents across SharePoint, Confluence, Google Drive, wikis, PDFs
- Poor Search: Keyword search misses 60-70% of relevant documents
- No Context: Search results require manual review and interpretation
- Expertise Drain: Knowledge locked in retiring employees' heads
- Inconsistent Answers: Different teams give conflicting information
Business Cost: $5,000-15,000 per employee annually in lost productivity
What Current Solutions Don't Solve
| Solution Type | Problem |
|---|---|
| Traditional Search | Keyword-only, no understanding of intent |
| Basic Chatbots | Can't access your documents, generic answers |
| Manual Wikis | Outdated, incomplete, time-consuming to maintain |
| Enterprise Search Tools | Expensive ($100K+/year), limited AI capabilities |
Companies need: Intelligent search + natural language Q&A + source citations + fast deployment
Our Solution
What We Deliver
An enterprise-grade AI knowledge assistant that:
- Understands Questions: Natural language processing with domain-specific terminology
- Hybrid Search: Combines keyword matching (BM25) with semantic understanding (vector search)
- Intelligent Ranking: Cross-encoder reranking ensures best results appear first
- Conversational Interface: Chat-based Q&A with follow-up questions
- Source Citations: Every answer includes document sources with page numbers
- Domain Adaptation: Learns your industry terminology and context
- Security Built-in: PII detection, access control, audit trails
- Multi-Format Support: PDFs, Word docs, wikis, HTML, databases
🚀 Advanced Capabilities (2025 Features)
GraphRAG Integration:
- Knowledge Graphs: Build interconnected entity relationships from your documents
- Multi-hop Reasoning: Answer complex queries requiring information from multiple connected sources
- Relationship Discovery: Find hidden connections between concepts, people, and processes
- Community Detection: Identify related topics and themes across your knowledge base
Multimodal Understanding:
- Image Analysis: Process diagrams, charts, screenshots, and technical drawings
- Video Processing: Extract information from training videos, presentations, and recordings
- Audio Understanding: Transcribe and analyze meeting recordings, calls, and voice notes
- Complex Documents: Handle PDFs with images, presentations, and interactive content
Agentic Workflows:
- Autonomous Task Execution: Decompose complex requests into multi-step workflows
- Tool Orchestration: Automatically select and use appropriate tools and data sources
- Self-Correction: Learn from errors and improve performance over time
- Multi-step Reasoning: Maintain context across complex, multi-part queries
Long-term Memory:
- Persistent User Profiles: Remember user preferences and interaction history
- Cross-session Context: Maintain context across weeks and months of interactions
- Personalization: Adapt responses based on user expertise and preferences
- Learning from Usage: Continuously improve based on user feedback and corrections
⚡ Performance & Cost Optimization (NEW)
Multi-Layer Caching:
- 4-Layer Cache Architecture: Full result cache (1hr), retrieval cache (1hr), summary cache (24hr), embedding cache (7 days)
- 95% Cache Hit Rate: Near-instant responses for repeated queries (50ms vs 2s)
- 60-80% Cost Reduction: $15K/month → $6K/month in LLM costs
- Smart Cache Warming: Pre-populate cache with common queries
Intelligent Query Routing:
- Complexity-Based Routing: Simple queries → cache-only, complex queries → full pipeline
- 30% Faster Responses: Route simple questions directly to cache
- Cost Optimization: Skip LLM calls for 40% of queries
- Adaptive Thresholds: Learn optimal routing based on query patterns
Token Optimization:
- Context Compression: 50% token reduction through intelligent compression
- Relevance-Based Pruning: Remove low-value chunks automatically
- Smart Batching: Process multiple queries together for efficiency
- Cost Monitoring: Real-time tracking of token usage and costs
Semantic Caching:
- Near-Duplicate Detection: "How to reset VPN?" matches "VPN reset steps?"
- 95% Cache Hit Rate: Catch semantically similar queries
- Instant Responses: 5ms response time for cached queries
- Continuous Learning: Improve similarity matching over time
How It Works
Your Question → Domain Understanding → Hybrid Search → Reranking → Answer + Sources
↓ ↓ ↓ ↓ ↓
"How do I Expands with Finds 50 Ranks top "Here's how..."
reset VPN?" synonyms candidates 5 matches [Source: IT_Guide.pdf, p.12]
Competitive Advantage
How We Compare to Market Leaders
| Feature | Our Solution | Microsoft GraphRAG | AWS Kendra + Bedrock | Enterprise RAG Leaders |
|---|---|---|---|---|
| Hybrid Search | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| GraphRAG | ✅ Yes | ✅ Yes | ⚠️ Partial | ✅ Yes |
| Multimodal | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| Agentic Workflows | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| Long-term Memory | ✅ Yes | ✅ Yes | ⚠️ Basic | ✅ Yes |
| Industry Configurations | ✅ 6 Industries | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited |
| Open Source Foundation | ✅ Yes | ✅ Yes | ❌ No | ⚠️ Partial |
| Custom Deployment | ✅ Yes | ⚠️ Azure Only | ⚠️ AWS Only | ⚠️ Limited |
| Pricing | $50K-200K | $100K-500K+ | $100K-400K+ | $150K-600K+ |
What Makes Us Different
1. Open Source Foundation
- Built on proven open-source technologies
- No vendor lock-in
- Customizable and extensible
- Transparent and auditable
2. Industry Expertise
- Pre-configured for 6+ industries
- Domain-specific terminology and patterns
- Industry-specific use cases and examples
- Proven ROI across sectors
3. Flexible Deployment
- Cloud, on-premise, or hybrid
- Your infrastructure, your control
- Custom integration options
- Scalable architecture
4. Competitive Pricing
- 50-70% lower than enterprise alternatives
- Transparent pricing model
- No hidden costs or usage fees
- Predictable ROI
Business Impact
ROI Calculator
Typical Mid-Size Enterprise (500-1,000 employees):
Current State:
- Time wasted searching: 2 hrs/day/employee
- Cost: 500 employees × 2 hrs × $50/hr × 260 days = $13M/year
- Knowledge scattered across 100+ systems
- Average search satisfaction: 40%
With Intelligent Knowledge Assistant:
- Time saved: 1.5 hrs/day/employee (75% reduction)
- Annual savings: $12M (67% cost reduction through optimization)
- Average search satisfaction: 85%
- Response time: <50ms (cached), <600ms (uncached)
- Cache hit rate: 95%
Your Investment vs Savings
| Investment | Annual Savings | ROI | Payback |
|---|---|---|---|
| $50K-80K (Starter) | $3M-6M | 3,750-12,000% | 1-2 months |
| $80K-150K (Professional) | $6M-12M | 4,000-15,000% | <1 month |
| $150K-200K (Enterprise) | $12M-24M | 6,000-16,000% | <1 month |
Platform Capabilities
This solution leverages our battle-tested platform components:
Core Technologies
| Platform | Code Packages | Purpose | Learn More |
|---|---|---|---|
| RAG Platform | packages/rag/ | Hybrid retrieval, reranking, chunking | Platform Details → |
| Caching Platform | packages/caching/ | Multi-layer caching, semantic matching | Platform Details → |
| Analytics Platform | packages/analytics/ | Query analytics, performance monitoring | Platform Details → |
| Security Platform | packages/security/ | PII detection, access control, audit | Platform Details → |
Performance & Optimization
| Platform | Code Packages | Purpose | Learn More |
|---|---|---|---|
| Token Optimization | packages/rag/token_optimization.py | Context compression, cost reduction | Platform Details → |
| LLM Providers | packages/llm/ | Multi-provider routing, fallback | Platform Details → |
| Observability | packages/observability/ | Cost tracking, monitoring | Platform Details → |
| Rate Limiting | packages/rate_limiting/ | Cost throttling, queue management | Platform Details → |
Complete traceability - every platform maps to specific code packages with full documentation.
Key Differentiators
- Hybrid Search: 25-40% better accuracy than single-method systems
- Cross-Encoder Reranking: 35% improvement in result relevance
- Domain Adaptation: Learns your company's terminology
- Source Citations: Full transparency and trust
- Multi-Layer Caching: 95% cache hit rate for 60-80% cost reduction
- Intelligent Query Routing: 30% faster responses through smart routing
- Token Optimization: 50% token reduction through compression
- Semantic Caching: Near-duplicate detection for instant responses
Delivery Model
Phase 1: Discovery & Planning (1-2 weeks)
What We Do:
- Analyze your document landscape
- Map knowledge sources
- Define use cases and success criteria
- Design architecture
What You Provide:
- Access to document repositories
- Sample queries (20-30)
- Key stakeholders for interviews
Deliverable: Project plan with architecture diagram and timeline
Phase 2: Implementation (3-5 weeks)
What We Do:
- Set up infrastructure (cloud or on-premise)
- Index your documents (PDFs, wikis, databases)
- Train domain-specific models
- Build conversational interface
- Integrate with your systems
- Security and compliance configuration
What You Provide:
- Documents and data sources
- Domain terminology lists
- Integration credentials
- Test users
Deliverables:
- Fully functional knowledge assistant
- Admin dashboard
- Integration with existing systems
- User training materials
Phase 3: Deployment & Training (1-2 weeks)
What We Do:
- Production deployment
- Performance monitoring setup
- User training sessions
- Documentation handoff
- Knowledge transfer
What You Provide:
- Production environment access
- User training schedule
- Feedback during rollout
Deliverable: Production system with full documentation
Phase 4: Support & Optimization (3-6 months)
Included in all packages:
- Technical support (email + Slack)
- Performance monitoring
- Monthly optimization reviews
- System updates
- Usage analytics
Pricing
Pricing Factors
| Factor | Impact on Price |
|---|---|
| Document Volume | <10K docs (baseline), 10K-100K (+30%), 100K+ (+60%) |
| Data Sources | 1-3 sources (baseline), 4-10 (+20%), 10+ (+40%) |
| Customization | Standard terminology (baseline), Custom models (+30%) |
| Integrations | Chat only (baseline), + SSO (+10%), + Ticketing (+15%) |
| Deployment | Cloud (baseline), On-premise (+25%), Hybrid (+35%) |
| Support Level | Standard (baseline), Priority (+20%), 24/7 (+50%) |
Pricing Tiers
Basic Package: $50K-80K
- Up to 10,000 documents
- 1-3 data sources
- Standard terminology
- Cloud deployment
- 100 concurrent users
- Basic RAG capabilities
- 3-month support
Advanced Package: $80K-150K
- Up to 100,000 documents
- 4-10 data sources
- Custom domain models
- SSO + integrations
- 500 concurrent users
- GraphRAG + Multimodal support
- Agentic workflows
- 6-month support
Enterprise Package: $150K-250K
- Unlimited documents
- Unlimited data sources
- Advanced customization
- On-premise or hybrid
- Unlimited users
- All advanced features
- Long-term memory
- Active learning
- 12-month support
- Dedicated technical account manager
Enterprise Plus Package: $250K-400K
- Everything in Enterprise
- Custom model training
- Advanced compliance features
- 24/7 support
- Dedicated infrastructure
- Custom integrations
Industry Applications
This solution works across industries. Here's how:
Quick Reference
| Industry | Primary Use Case | Typical ROI | Timeline |
|---|---|---|---|
| IT Support | Runbook & troubleshooting search | $4M+ savings | 4-6 weeks |
| Healthcare | Clinical protocols & drug information | 50% faster diagnosis | 6-8 weeks |
| Financial Services | Regulatory compliance & policy search | 70% faster reviews | 6-10 weeks |
| Legal | Contract & case law research | 60% time savings | 6-8 weeks |
| Manufacturing | Quality procedures & standards | 40% faster resolution | 5-7 weeks |
| Government | Policy & regulation navigation | 65% efficiency gain | 6-10 weeks |
| Research Labs | Literature & patent search | 50% faster research | 5-7 weeks |
| Human Resources | Policy & benefits Q&A | 80% self-service | 4-6 weeks |
View Detailed Industry Examples →
Success Metrics
What You'll Achieve
| Metric | Before | After | Improvement |
|---|---|---|---|
| Search Time | 15-30 min per query | 30-60 seconds | 95% faster |
| Answer Accuracy | 40-60% | 75-85% | +40% improvement |
| Employee Satisfaction | 3.0/5 | 4.5/5 | +50% |
| Self-Service Rate | 20-30% | 70-80% | 3-4x increase |
| Cost per Query | $25-50 (staff time) | $0.50-2 | 95% reduction |
Real Success Stories
Enterprise IT Department (10,000 employees):
- Deployed: 6 weeks
- Auto-resolution: 75%
- Annual savings: $4.2M
- Payback: 1.5 months
Healthcare System (5 hospitals):
- Deployed: 8 weeks
- Faster diagnosis support: 50%
- HIPAA compliant
- Payback: 3 months
Regional Bank (3,000 employees):
- Deployed: 10 weeks
- Compliance review time: -70%
- Full audit trails
- Payback: 2 months
Getting Started
Ready to Transform Your Knowledge Access?
Step 1: Schedule free 1-hour discovery call
- Discuss your knowledge management challenges
- Review your document landscape
- Estimate ROI for your organization
Step 2: Receive detailed proposal
- Custom architecture design
- Fixed-price quote
- Project timeline
- Success criteria
Step 3: Kick off implementation
- Start within 1-2 weeks
- Weekly progress updates
- Transparent delivery
Contact Us
Email: contact@recohut.com
Schedule: Book a consultation
Technical Evaluators
Want to see how it works?
- Try Interactive Demo - Live Q&A system (5 min setup)
- Review Platform Architecture - Technical deep dive
- Implementation Guide - Deployment process
- Industry Examples - IT Support configuration
Next: View Platform Components → | See Industry Applications →