RAG-as-a-Service: what it is, use cases, providers & more

What this post added

This post introduces and defines RAG-as-a-Service (RAGaaS) as a managed infrastructure solution for Retrieval-Augmented Generation (RAG). It details the end-to-end RAGaaS workflow, including ingestion, indexing, retrieval, prompt and generation, and citations/access control. The post outlines the benefits of RAGaaS such as shorter time to market, less infrastructure overhead, better quality answers, faster iteration, and built-in scalability. It also lists common use cases, differentiates RAGaaS from DIY RAG, and highlights essential features to consider when evaluating RAGaaS platforms, such as hybrid search, filtering, reranking, access control, and source citations. Finally, it discusses challenges associated with RAGaaS, including chunking limitations and retrieval quality.