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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

How It Works

1

Connect

Upload files via API or sync from Google Drive, Notion, Slack, and more using pre-built connectors.

2

Ingest

Ragie parses, chunks, and indexes content across text, PDFs, images, audio, and video automatically.

3

Deploy

Get structured data, extracted entities, or retrieved context via API for your application.

4

Scale

Use partitions, reranking, and hybrid search to maintain accuracy as your data grows.

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

Enterprise

Custom/monthly
  • Unlimited usage
  • On-prem deployment
  • Dedicated 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

Just Launched

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Rating

5.0

Pros

Cons

Quick Ragie Comparision

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Analytics of Native Audio & Video RAG. Now in Ragie.

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

17.21K

-43.6% vs prior month

Avg. visit duration

00:00:19

M 4 2026 snapshot

Pages / visit

1.92

M 4 2026 snapshot

Bounce rate

38.38%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

3.44K4.39K5.34K6.29K7.24KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 7.24K (Feb 1, 2026)Low week: 3.44K (Apr 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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