Summary

This documentation provides examples for using the `ragie` client for creating and retrieving documents.

Key takeaways:

* Installation: `ragie` is available through npm (`npm i ragie`) and pip (`pip install ragie`).
* TypeScript Example:
* Imports the `Ragie` class.
* Initializes `Ragie` with the API key from the `RAGIE_API_KEY` environment variable.
* Creates a raw document with the content "Hello, world".
* Continuously checks the document's status until it is ready, then exits the loop.
* Retrieves a retrieval based on the query "Hello, world".
* Python Example:
* Imports `os` and `Ragie` from the `ragie` library.
* Initializes `Ragie` with the API key from the `RAGIE_API_KEY` environment variable.
* Creates a raw document with the content "Hello, world".
* Continuously checks the document's status until it is ready, then exits the loop.

The documentation suggests `ragie` is designed for engineers and provides examples for creating and retrieving documents, likely for RAG (Retrieval-Augmented Generation) applications.

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, like, application, work, founder, team, love, found, have, using, building, production, ready, enterprise, developers, context

NS Lookup

A 198.202.211.1

Dates

Created 2025-11-03

Updated 2026-01-27

Summarized 2026-02-28