Ragie

What is Ragie?

Ragie is an AI platform with an advanced RAG engine for document processing and retrieval. It extracts structured information from unstructured documents so developers can power AI agents and applications.

Key capabilities of Ragie

• Hybrid search: semantic and keyword retrieval
• Reranking: improves result relevance
• Entity extraction: pulls structured data from documents
• Partitions: separate data by tenant or use case
• Multi-language support: retrieval across languages
• Connectors: sync content from external sources
• MCP Server: access from MCP-compatible agents

How Ragie works

Developers ingest documents, audio and video through the API or connectors. Ragie processes pages (fast or hi-res), extracts entities and indexes content for hybrid retrieval with reranking. Applications call retrieval through SDKs or the MCP Server. Audio and video are billed per minute and storage per GB.

Who uses Ragie?

Ragie is built for developers and teams building AI agents, copilots and search over their own documents who prefer a managed pipeline over assembling vector databases themselves.

Ragie pricing

Developer is free with 1,000 retrievals and pages. Starter is $100 per month with 10,000 pages and Pro is $500 per month with 60,000 pages, both with unlimited retrievals. Extra pages cost $0.02 fast or $0.05 hi-res. Enterprise is custom.

Ragie alternatives

Alternatives include Graphlit for managed semantic memory, Supermemory for AI memory, and Zep for agent memory and context.