Putting the ‘R’ in RAG: How Advanced Data Retrieval Turns GenAI Into Enterprise Ready Experiences
Deploying generative AI without advanced data retrieval is risky business — your organization needs enterprise-grade retrieval augmented generation, or RAG.
Hallucinations, compliance gaps, and poor relevance are just a few of the negative outcomes risked without robust retrieval. Simple RAG frameworks fall short in enterprise environments; they can’t handle the complexity of dispersed content, strict access controls, or the need for real-time accuracy.
This guide explores how relevance-augmented retrieval transforms LLMs into secure, scalable, and trustworthy AI systems. With Coveo, enterprises gain unified content access, document-level permission enforcement, and an intelligent system that continuously learns from user interactions to serve the most accurate, context-aware answers — powering AI you can trust, scale, and measure.
- Most GenAI Projects Skip This Critical Step: And it’s the reason so many enterprise AI pilots never make it past the prototype.
- The Hidden Risk Inside Your AI Stack: If your data can’t talk to your AI, you’re not just wasting resources—you’re gambling with trust.
- Beyond the Hype: Real-World AI Retrieval: Peek into a high-performance playbook designed to tame enterprise complexity at scale.
- Relevance Is Everything: See how AI tuned for human behavior can mean the difference between trust and total breakdown.
- Build Once. Serve Everywhere: Learn how a unified index changes the game for digital leaders managing chaos across platforms.
