# Ragie

Ragie is a managed retrieval-augmented generation platform that handles the entire pipeline behind grounding an LLM in your data so developers do not have to build and maintain it themselves. It ingests content from file uploads and connectors to sources like Google Drive, Notion, Confluence, and more, then automatically extracts, chunks, embeds, and indexes everything — including text, tables, and images — with hybrid semantic and keyword retrieval and reranking for high-quality results. A single API returns relevant, source-cited context ready to feed into any model, and the platform keeps connected sources continuously synced so answers stay current. Ragie adds features like summary indexing, entity extraction, and per-document access controls for multi-tenant apps, plus an SDK and generous developer tooling. It targets engineering teams and startups that want to ship accurate, up-to-date RAG features and AI assistants fast without operating their own ingestion and vector infrastructure.

## Quick facts

- Categories: LLM, Developer Tools, Data Analysis, Automation
- Pricing: Freemium (free plan + paid tiers)
- Free plan: Yes
- Official site: https://www.ragie.ai
- Last checked: 2026-11-02

## Links

- Nextool.ai page: https://nextool.ai/tools/ragie/
- Alternatives: https://nextool.ai/alternatives/ragie/

Source: Nextool.ai (https://nextool.ai/tools/ragie/). Pricing and features change; confirm on the provider's site before relying on them.