RAG powered by structured and unstructured data

LLMs don’t know your business — RAG does
By combining unstructured data (like policies) with structured data (like customer records), RAG teaches the LLM about your business — so it can deliver accurate and relevant responses.

Most of the answers lie in your app data
Data from your business systems (like CRM, ERP, and Billing) is key to answering GenAI questions. K2view's secure architecture gives you seamless, real-time access to this valuable structured data.

Real-time context means real business impact
Business data is often fragmented across multiple systems, making it hard for GenAI apps to access it in real-time. K2view ensures your GenAI can deliver fast, accurate answers.
Access to live
operational data
Most RAG tools rely on vector databases that index company knowledge bases, like policies and documentation. K2view extends RAG and connects directly to live operational systems—like CRM and ERP—to retrieve real-time customer data. This allows your GenAI apps to provide highly relevant, context-aware responses that reflect the most current business activity.

Real-time data retrieval for RAG

Fine-grained security and governance
K2view RAG solution enables role-based access control, field-level encryption, audit logging, and compliance with regulatory frameworks like GDPR and HIPAA. You stay in full control of what data your GenAI apps can see and use.

Works with any LLM or vector database
K2view is LLM-agnostic and integrates seamlessly with leading open-source and commercial models — including OpenAI, Claude, Mistral, and more. It also supports any vector database, giving you the flexibility to use your preferred tools while benefiting from real-time data integration and orchestration.

Fast time to deployment

Proven business impact with K2view GenAI Data Fusion


"K2view has a unique approach of integrating enterprise data with the LLMs advantage"
