RAG-as-a-Service: Instant AI-Powered Q&A on Your Enterprise Dat

A major shift is happening in enterprise AI — organisations are no longer satisfied with generic copilots. They want AI that truly understands their internal knowledge, can answer questions instantly, and eliminates the need to search through endless documents. This shift is accelerating so fast that RAG adoption jumped from 31% to 51% in just one year, making it the dominant architecture for grounding AI in trusted enterprise data.

But while the market is moving quickly, most enterprises are stuck. Ingesting data from scattered sources, generating embeddings, maintaining vector databases, and evaluating responses is complex, engineering-heavy, and slow. These challenges prevent teams from moving beyond prototypes and make it difficult to operationalise AI-powered Q&A at scale.

In this session, we introduce RAG-as-a-Service — a fully managed framework that removes the engineering burden and lets you instantly enable AI-powered Q&A on your unstructured data. You’ll see

• How to connect multi-source data, generate high-quality embeddings, index them in a vector DB, and evaluate responses using techniques like LLM-as-a-Judge and feedback scoring.

• Live demo — see RAG-as-a-Service in action, from data ingestion to accurate, real-time Q&A on your enterprise knowledge.

If your teams are exploring AI assistants or enterprise knowledge solutions, this session will show you exactly how to make them real — fast, accurate, and production-ready. Don’t miss the chance to see how RAG-as-a-Service can accelerate your AI roadmap in weeks, not months.

Reserve your seat and take the first step toward operationalising AI in your own environment.