Ragie is a fully managed retrieval-augmented generation (RAG) platform that lets developers ingest, process, and index data for AI applications without building infrastructure from scratch. It supports multimodal data, pre-built connectors, and hybrid search out of the box. Developers can deploy production-grade retrieval in minutes via simple APIs, SDKs, and an MCP server.
⚡ Infrastructure💵 Freemium — free Developer tier with usage-based paid Starter and Pro plans, plus custom Enterprise.📅 Listed 10 Jun 2026
✨ Features
Multimodal Ingestion
Processes text, PDFs, images, audio, and video with pre-built connectors for Google Drive, Notion, Confluence, and Slack.
Hybrid Search
Combines vector, keyword, and summary indexes with advanced reranking and entity extraction for accurate retrieval.
Agentic Retrieval & MCP
Supports multi-step reasoning and exposes an MCP server for intelligent tool use by agents.
Enterprise-Grade Security
SOC 2 Type II, GDPR, and HIPAA compliance with AES-256 encryption and high uptime.
⚖️ Pros & Cons
Pros
✓ Fully managed pipeline removes the need to build and maintain RAG infrastructure
✓ Generous free Developer tier plus transparent usage-based pricing
✓ Strong enterprise compliance and multi-tenant isolation
Cons
✗ Audio/video processing, storage, and connectors incur extra pay-as-you-go costs
✗ Page-based overage pricing can add up for high-volume document workloads