Tool overview
Ragie is listed under AI Infrastructure & MLOps AI tools.
What is Ragie?
Ragie provides managed retrieval APIs for developers. It ingests documents and media, performs hybrid search and reranking, supports partitions and entity extraction, and connects external sources through Ragie Connect with Python and TypeScript SDKs.
Best for
Developers adding managed retrieval and connected knowledge to AI applications
Who is it for?
Decision note
Rebuilt from the original export under the complete V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, all explicit clears are reviewed, image import is disabled or V380 accepts the asset, one representative WordPress edit screen is compared with the export and proposed row, and a post-Apply zero-change Preview is completed.
Key features
Document, image, audio, and video ingestion
Hybrid search, reranking, and partitions
Python and TypeScript SDKs
Managed connectors through Ragie Connect
Use cases
Ground AI assistants
Index knowledge bases
Search audio and video
Connect SaaS content sources
Pros
- Free developer tier
- Transparent Starter and Pro pricing
- Direct API and SDK documentation
Limitations
Retrieval quality depends on source content, processing mode, metadata, filters, and query design.
Customers must govern uploaded data, API keys, partitions, retention, connectors, and regulated information.
Pricing details
Billing options
Pricing note
Developer is free. Starter is $100 per month and Pro is $500 per month. Additional document pages, storage, audio, video, streaming, and connectors use published usage rates.
Supported languages
- English
Integrations
Google Drive
Notion
Confluence
SharePoint
Intercom
Zendesk
Backblaze
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