Ragie

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.

Ragie offers 4 main 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.

Ragie uses a Freemium — free Developer tier with usage-based paid Starter and Pro plans, plus custom Enterprise. pricing model. Available plans include Developer at Free, Starter at $100/mo, Pro at $500/mo, Enterprise at Custom.

Key advantages include: 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. Potential drawbacks: 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.

Ragie is categorized under Infrastructure, Data Extraction on AI Product List. It is designed for professionals and teams looking for infrastructure solutions.

Yes, Ragie offers a free plan. 1,000 max retrievals. 1,000 pages included. All advanced features. Overage $0.02/page (fast) or $0.05/page (hi-res)

You can visit the official Ragie website at www.ragie.ai to sign up, explore features, or start a free trial.