The Ragu Solutions Story

Synchronizes your Google Drive or Microsoft OneDrive with our RAG system for real-time updates, ensuring consistent data accuracy and enhanced LLM performance.

Excellent for speed and advanced reasoning - the Ragu chatbot is deployable internally to assist in all manner of tasks (HR, Marketing, Sales, etc…) and externally for customer support; it includes a built-in Governance Layer to eliminate hallucinations.

A process that utilizes two RAG systems to triple-check responses for accuracy, improving output quality. Double RAG forms the basis of our Governance Layer systemwide, ensuring LLM outputs are reliable. Public-facing chatbots need Double RAG.

Generates responses by analyzing and refining user requests, adding relevant details and context, and employing a multi-step process to develop accurate, comprehensive, and tailored answers - increases client satisfaction scores from 70% to over 95%.

Generates long-form content (overcoming LLM token limits), integrating data, and enabling the generation of high-quality, context-rich documents.

Harnesses the full potential locked in company email, call, meeting and other unstructured data, by extracting valuable information (like customer profiles and tasks), and making it available to AI, CRM and ERP systems.

Generates responses based on patterns and data, forming the core of Ragu's future advanced AI capabilities. LPP can be used to establish complex LLM processing pipelines that break up very large tasks into smaller ones that are easily accomplished. Picking a new location for an Amazon service Hub from anywhere in the USA, is an example of a 1,300+ task LPP process.