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Try NowWhat 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
LLMNLPComputer VisionSpeech Recognition
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 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.
AI Developers
Legal Teams
Sales Tech Teams
Productivity Teams
Enterprise Architects
Startups
Data Scientists
Customer Support Teams
Product Managers
MCP Users
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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Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
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.
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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Quick Ragie Comparision
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|---|---|---|---|---|---|---|---|---|---|---|---|
 RagieAI Development Tools | — | — | — | — | — | — | $0 | 5+ | View | ||
 BlankstateAI Development Tools | — | — | — | — | — | — | Varies | 1 | View | ||
 codedamnAI Development Tools | — | — | — | — | — | — | $0 | 1 | View | ||
 Workstreams.aiAI Development Tools | — | — | — | — | — | — | $0 | 3+ | View | ||
 FreshlyAI Development Tools | — | — | — | — | — | — | $0 | 1 | View |
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Rating
5.0
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