RAG as a Service

What is RAG as a Service?

RAG as a Service delivers managed retrieval-augmented generation so teams can ship grounded AI without building the full stack.

What this looks like in production

In production, teams encounter RAG as a Service when building, evaluating, or securing model and agent pipelines.

What teams usually do about it

• Document expected behavior and evaluation criteria for this concept.
• Add automated checks where the risk or metric is measurable.
• Re-test after model, data, or prompt changes.

Related Giskard articles

• A practical guide to LLM hallucinations and misinformation
• A practical guide on AI security and LLM vulnerabilities

Harden RAGaaS deployments with Giskard

Whether you buy or build RAG, probe hallucinations and data leakage before production traffic. Read practical LLM security or visit giskard.ai.

Further reading: arXiv: RAG survey.