RAG (Retrieval-Augmented Generation) & Knowledge Data Foundation
Data and document foundations required for RAG: sources, quality, indexing, metadata, security, governance and document lifecycle.
- RFC SERVICE
- AI-ready data platform
Prepare knowledge for RAG
Document content is not prepared for RAG. Validate usable sources, metadata and permissions.
Starting point
Document content is not prepared for RAG.
Promise
Prepare governed RAG sources.
Decision
Validate usable sources, metadata and permissions.
Prepare and enrich data applications
Secure document foundation for AI assistants and augmented search.
A structured approach to action
Each step specifies the actions, deliverables and decisions to prepare.
Scope
Identify business decisions, sources and required indicators.
Build
Prepare data and define useful models and controls.
Validate
Verify indicators with users and organise monitoring.
Talk to an RFC expert
Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.
Technologies used
Tools suited to data sources and analytics applications.
Talk to an RFC expert
Share your context, priorities and constraints. Our experts help you structure an IT journey aligned with your transformation goals.
Tell us about your challenges
Share your priorities to prepare for a focused discussion.