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What is Ragie?

Ragie is a context engine designed to provide AI agents, assistants, and applications with the right context from various data sources. Built by a team focused on production-ready AI, Ragie solves the problem of messy, unstructured data by offering purpose-built APIs for indexing, retrieval, parsing, and entity extraction. Its core capabilities include multimodal support (text, PDFs, images, audio, video), native connectors to platforms like Google Drive, Notion, and Slack, hybrid search combining vector, keyword, and summary indexes, and an MCP server for agent integration. Ragie also features partitions for secure multi-tenant data isolation. It fits workflows for developers building context-powered AI, from startups to large enterprises, across industries like legal, sales, tech, and productivity. The tool is trusted by teams that need accurate, scalable context retrieval without building and maintaining complex pipelines.

AI Tool Review Summary

Performance Score

4.7/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
LLMNLPComputer VisionSpeech Recognition
Purpose of Tool

To provide accurate, scalable context retrieval for AI agents and applications.

Compatibility

Integrates via API and native connectors with Google Drive, Notion, Confluence, Slack, and more.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

Multimodal ingestion (text, PDFs, images, audio, video)

Hybrid search (vector, keyword, summary indexes)

Native connectors for Google Drive, Notion, Slack, and more

Agentic OCR for structured document extraction

Plain-language entity extraction

Multi-tenant data partitions

MCP server for agent integration

Reranking, webhooks, recency bias, deep search

Who Is It For?

AI Developers

Legal Teams

Sales Tech Teams

Productivity Teams

Enterprise Architects

Startups

Data Scientists

Customer Support Teams

Product Managers

MCP Users

Pricing

Free

$0/monthly
  • Limited API calls
  • Basic indexing and retrieval
  • Community support
Popular

Pro

$99/monthly
  • Higher API limits
  • All connectors
  • Priority support

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Pros & Cons

Pros

  • Simplifies the entire RAG pipeline from ingestion to retrieval, saving months of development time.
  • Enterprise-ready with SOC 2, GDPR, HIPAA compliance and flexible deployment options.

Cons

  • Pricing is not publicly listed, requiring a sales call for cost details.
  • Some advanced features may have a learning curve for new users.

FAQs

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