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domain	ragie.ai
summary	The provided content outlines the process of using Ragie, a tool designed for engineers, to interact with various data sources. The steps involve installing the Ragie client, either via npm (Node Package Manager) or pip (Python's package installer), and importing the necessary modules. The code snippet demonstrates creating a new document using Ragie's `documents.createRaw` method, followed by a loop that continuously retrieves the document using `documents.get` based on its ID. Once the document status is 'ready', the loop breaks. Afterward, a retrieval query is made for specific data using `retrievals.retrieve`. Ragie connectors allow seamless data integration with popular data sources, enabling quick deployment and reducing the time typically required for such integrations from months to minutes. Ragie handles authentication and authorization, ensuring secure access to data while freeing up engineering resources.
title	Ragie \| Fully managed RAG-as-a-Service for developers
description	Ragie is a fully managed RAG-as-a-Service platform. Launch RAG pipelines for LLMs—agents, retrieval with citations, real-time indexing. Free developer tier.
keywords	data, retrieval, developers, application, recall, context, like, ready, more, enterprise, connectors, chunking, scale, sources, integration, information, world
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nslookup	A 75.2.70.75, A 99.83.190.102
created	2025-11-03
updated	2025-11-03
summarized	2025-11-06