
Ragie
Ragie provides managed retrieval-augmented generation infrastructure, enabling agents and applications to index, search, and retrieve multimodal data with citations in real time.
Ragie is a managed Retrieval-Augmented Generation (RAG) platform designed to give AI agents, assistants, and applications reliable access to up-to-date, context-rich information. It centralizes document ingestion, indexing, and retrieval so developers can focus on application logic instead of building and maintaining custom search and RAG pipelines. By exposing a unified API, Ragie enables consistent, explainable responses across a wide range of data sources and modalities.
The platform provides real-time indexing, allowing newly added or updated content to become searchable almost immediately, which is critical for dynamic knowledge bases and operational data. Its retrieval engine supports citations, returning source snippets and metadata so applications can surface verifiable answers and build user trust. Ragie offers multimodal support, enabling retrieval over text, PDFs, images, and other unstructured content types through a single interface. As a fully managed service, it handles infrastructure, scaling, and performance tuning, and includes a free developer tier for experimentation and prototyping.
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