Continuous Learning:
RAG
Leverage the power of Retrieval-Augmented Generation (RAG) that continuously improves from user feedback. Build AI that is unique, adaptive and especially built for document processing.
Continuous Learning Platform
Harness the power of RAG for your document processing needs
Retrieval-Augmented Generation
Combine the power of retrieval systems with generative AI to produce more accurate, relevant, and factual outputs for your documents.
Document Knowledge Base
Build a secure, searchable repository of document knowledge that grows and adapts with your business.
Continuous Improvement
AI models that learn from user feedback and corrections to constantly improve extraction accuracy.
With vs. Without RAG
See how Retrieval-Augmented Generation transforms document processing accuracy and capabilities
Without RAG
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Limited Accuracy
Relies solely on the pre-trained model knowledge, leading to factual errors on domain-specific content.
Hallucinations
May generate incorrect or fabricated information when faced with unfamiliar documents or formats.
Static Knowledge
Knowledge is limited to what was included in the original training data, often outdated.
Result: 95% accuracy on specialized documents, frequent human intervention required
With RAG
Enhanced Accuracy
Combines AI models with retrieved document knowledge to verify and validate extractions.
Factual Grounding
Extractions are grounded in your actual document knowledge base, minimizing fabrications.
Living Knowledge
Document knowledge evolves as new documents are processed, keeping information current.
Result: 99% accuracy on specialized documents with continuous improvement over time
RAG-Enhanced Learning Dashboard
Our platform's learning interface shows you exactly how the system improves over time. Track accuracy improvements, view learning metrics, and see the impact of feedback on extraction quality.
RAG Application to Documents
Application for automated document reading
Invoice Document
The process starts with an invoice or other document that needs to be processed and understood.
LLM-based Document Reading Technology
The document is processed using advanced technology that includes a Large Language Model for accurate reading and interpretation.
RAG-enhanced Structured Data
The output is structured data that has been enhanced through Retrieval Augmented Generation for improved accuracy and context.
Technical Specifications
Enterprise-ready RAG technology for document processing
Knowledge Base
Vector database storage
Semantic search
Image search
Integration
RESTful API
Webhooks
SDKs available
Security
SOC 2 Type II compliant
GDPR compliant
End-to-end encryption
Ready to Experience Continuous Improvement?
Start with powerful document AI that gets smarter every day