Ragie

Ragie is a fully managed RAG-as-a-service platform aimed at developers. It connects to sources like Google Drive, Notion, and Confluence, handles ingestion, chunking, and multimodal indexing automatically, and exposes retrieval via a simple API. With a free developer tier and self-serve paid plans, it lets teams add grounded LLM answers to their apps without building or operating their own retrieval pipeline.

Ragie is a RAG-as-a-service platform built for developers who want to ship retrieval features without operating their own pipeline. It connects directly to popular sources such as Google Drive, Notion, and Confluence, automatically syncing content and handling ingestion, chunking, and multimodal indexing of structured and unstructured data. The result is a clean retrieval API that developers integrate into their own applications and agents. Coming from a founding team with roots at Scale AI, Ragie positions itself as the fastest path from raw corporate documents to grounded LLM answers. It abstracts away the operational parts of RAG (connectors, embeddings, re-syncing) so teams can focus on their product rather than maintaining data plumbing. Ragie offers a free developer tier plus paid production plans, making it accessible to individual developers and startups as well as larger teams. It competes with both DIY vector-database stacks and other managed RAG providers, differentiating on developer experience, native connectors, and transparent, self-serve pricing.