The Technology Behind
Accurate AI Answers

RAG (Retrieval-Augmented Generation) is the breakthrough technology that eliminates AI hallucinations and delivers 85%+ accuracy improvement

What is RAG?

RAG combines the power of large language models with your specific documents to provide accurate, verifiable answers

Retrieval

Searches your document database to find the most relevant information for each question

Augmentation

Combines retrieved information with AI's language understanding capabilities

Generation

Generates accurate answers based on your actual documents, with source citations

How RAG Works: Step-by-Step

1

Professional Asks a Question

"Find all cases where Smith v. Jones was cited in contract disputes involving force majeure clauses"

The question is converted into a semantic vector. Graph RAG also extracts entities (Smith v. Jones, force majeure) and relationship types (CITES, INVOLVES).

2

Multimodal + Graph Search

RAG searches vector database AND traverses graph relationships to find connected cases

Found via Graph: Johnson v. Acme Corp (2019) CITES Smith v. Jones, INVOLVES force majeure...
Found via Vector: Contract_Analysis_2021.pdf, Page 47 - "Following Smith v. Jones precedent..."

3

AI Generates Cited Answer

The AI synthesizes findings from both vector search and graph traversal with full citations

"I found 3 cases citing Smith v. Jones in force majeure contexts: Johnson v. Acme Corp (2019, 7th Cir.) established that pandemic events qualify; Martinez v. GlobalTech (2020, 9th Cir.) extended this to supply chain disruptions..."

Sources: Johnson_v_Acme_2019.pdf (p. 12), Martinez_v_GlobalTech_2020.pdf (p. 8), Contract_Analysis_2021.pdf (p. 47)

RAG vs Traditional AI

FeatureGeneric Generative AI AssistantRAG-Powered ConvoAI
Data SourceGeneral internet training dataYOUR specific documents
Accuracy60-70% (often hallucinates)85-95% (grounded in facts)
Source Citations❌ No citations✅ Document name + page number
Company Knowledge❌ Doesn't know your business✅ Expert in YOUR policies
Updates❌ Outdated training data✅ Real-time document updates
Compliance❌ Can't verify answers✅ Audit trail with sources

Why RAG Matters for Your Business

85%+ Accuracy Improvement

Generic AI Assistants guess and hallucinate. RAG retrieves actual facts from your documents.

  • Eliminates hallucinations
  • Provides verifiable answers
  • Builds customer trust

Compliance & Audit Ready

Every answer includes source citations - perfect for regulated industries.

  • Complete audit trail
  • Source document tracking
  • Regulatory compliance

Always Up-to-Date

Update your documents, and the AI instantly knows the new information.

  • Real-time document updates
  • No retraining required
  • Version control built-in

Company-Specific Intelligence

The AI becomes an expert in YOUR business, not generic knowledge.

  • Knows your products/services
  • Understands your policies
  • Speaks your brand voice

Advanced Document Processing

Enterprise-grade document intelligence that handles any document type, format, or condition

Intelligent OCR

Automatically processes scanned documents, handwritten notes, and image-based PDFs with advanced optical character recognition

  • Scanned contracts and legal documents
  • Handwritten medical records and notes
  • Legacy documents and archives

Advanced Entity Recognition

Automatically identifies and extracts key entities from your documents including people, organizations, locations, dates, and domain-specific terms

  • Recognizes 15+ entity types automatically
  • Builds knowledge graphs from relationships
  • Industry-specific entity models available

Intelligent Re-Ranking

Multi-stage retrieval with advanced re-ranking ensures the most relevant information surfaces first

  • Semantic relevance scoring
  • Context-aware result ordering
  • Weighted scoring for precision

Document Versioning

Complete version history tracking ensures you always know which version of a document was used for each answer

  • Automatic version tracking on updates
  • Audit trail of document changes
  • Point-in-time document retrieval

Multi-Format Support

Process any document format with intelligent format detection and conversion

  • PDF, Word, Excel, PowerPoint
  • Plain text, HTML, Markdown, CSV
  • Images (PNG, JPG) with OCR

Optimized Storage & Retrieval

Enterprise-grade vector storage with optimized indexing for lightning-fast search across millions of documents

  • Millisecond-speed similarity search
  • Efficient memory utilization
  • Scales to enterprise document volumes

Complete Document Lifecycle Management

From ingestion to deletion, every stage of your document's lifecycle is tracked, audited, and optimized

1

Ingestion

Upload documents in any format. Automatic format detection, OCR for scans, and metadata extraction

2

Processing

Intelligent chunking, entity extraction, relationship mapping, and vector embedding generation

3

Versioning

Track all document versions, updates, and changes with complete audit history and rollback capability

4

Deletion

Complete cascade deletion removes documents and all associated data while maintaining referential integrity

Why Lifecycle Management Matters

Compliance

Complete audit trail of all document operations for regulatory requirements

Data Hygiene

Automated cleanup prevents orphaned data and ensures database integrity

Performance

Optimized storage and retrieval keeps search fast even with large document volumes

Frequently Asked Questions

Ready to See RAG in Action?

Schedule a 15-minute demo and see how RAG technology delivers accurate, cited answers from your documents