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

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.

Turn unstructured documents into accurate answers — without the engineering pain.

Featuring guest speaker:
Rajkumar Manoharan- Chief Architect,Cloudaeon
Amol Malpani- CTO, Cloudaeon
Ashutosh Suryawanshi- Lead AI Engineer, Cloudaeon

Submit your use case and get a free AI Proof of Concept. See how Cloudaeon can turn your ideas into enterprise scale results.