Ragie

Context engine that indexes, retrieves and extracts entities from documents for agents.

Infrastructure by Ragie

IndexedLicense unknown

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About

Ragie is a context engine that builds vector, keyword and summary indexes from your content and runs the retrieval pipeline. Its Agentic OCR parses documents with bounding boxes, and entity extraction pulls structured fields from plain-language instructions. Connectors sync from sources such as Google Drive, Notion, Confluence and Slack.

Use cases: knowledge-base, document-processing

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Fact sheet

Category: RAG and data · rag as a service

Plans

Developer	$0	for personal projects; 1,000 retrievals and 1,000 pages included; 10 GB streaming free
Starter	$100/month	unlimited retrievals; 10,000 pages included; additional pages $0.02 fast or $0.05 hi-res; $0.002 per page a month for search and storage
Pro	$500/month	unlimited retrievals; 60,000 pages included; same additional page rates; rerank, hybrid search and entity extraction
Enterprise	Contact sales	custom; dedicated SLAs; whitelabel connectors in beta; contact sales

From the vendor's pricing page, read Oct 24, 2026.

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Details

Packages: npm ragiepypi ragie
License: License unknown
Website: www.ragie.ai
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Website Pricing page

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

Ragie. Agent Mart. https://agentmart.dev/infrastructure/ragie (last updated 2026-10-24)