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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
4.7/5
High, consistent, and on-brand
Clean and minimal
To provide accurate, scalable context retrieval for AI agents and applications.
Integrates via API and native connectors with Google Drive, Notion, Confluence, Slack, and more.
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
Connect
Upload files via API or sync from Google Drive, Notion, Slack, and more using pre-built connectors.
Ingest
Ragie parses, chunks, and indexes content across text, PDFs, images, audio, and video automatically.
Deploy
Get structured data, extracted entities, or retrieved context via API for your application.
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
Limited API calls Basic indexing and retrieval Community support
Pro
Higher API limits All connectors Priority support
Enterprise
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
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Quick Ragie Comparision
Side-by-side with top alternatives in this category.
| Tool | Rating | Visits / mo | Global rank | Category rank | Engagement | Bounce | Top market | Starts at | Free tier | Integrations | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|
RagieAI Development Tools | 17.2K | #1,456,336 | #6,354 | 19s1.9 pages | US(31%)#908,187 | $0 | 5+ | View | |||
deci.aiAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
FinGPTAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
Skywork-R1VAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
PocketPal AIAI Development Tools | 1.1B | — | — | 2m2.6 pages | US(15%) | $0 | 1 | View |
Analytics of Native Audio & Video RAG. Now in Ragie.
Website traffic and keyword analysis.
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
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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