RAGnosis

RAGnosis aggregates and curates a large collection of articles, metrics, and documentation related to Retrieval‑Augmented Generation (RAG) and broader AI engineering topics. It pulls quantitative data from sources such as HuggingFace and GitHub, combining those figures with expert knowledge extracted from official documentation to give users a consolidated view of the current state of RAG technologies.

The platform is designed for developers and researchers who need to explore RAG concepts, compare frameworks, and understand common challenges without manually searching disparate resources. By offering example questions—ranging from basic definitions to framework selection and trending issues—RAGnosis helps users quickly diagnose their own RAG implementations and discover relevant insights.

What distinguishes the service is its focus on both metric‑driven intelligence and curated expert commentary, presenting a single interface where quantitative performance data and qualitative guidance coexist. This enables informed decision‑making for those building or evaluating RAG‑based systems.