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Ragie

Freemium
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Managed context infrastructure for AI applications

Site Internet :https://www.ragie.ai/
Ajouté :13 juil. 2026
Visiteurs mensuels :
15.1K
Réseaux sociaux et e-mail :
RAGAI infrastructureContext engineDocument parsingEntity extractionHybrid search
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Informations sur l’outil

Qu'est-ce que Ragie ?

Ragie is a managed context engine and RAG-as-a-Service platform for building context-powered agents, assistants, and applications. It combines indexing and retrieval, document parsing, and entity extraction to provide AI applications with structured, relevant context.

Fonctionnalités principales

  • Indexing and retrieval

    Builds vector, keyword, and summary indexes and manages the retrieval pipeline for finding relevant context.

  • Document parsing with Agentic OCR

    Extracts structured elements from documents, including tables, forms, charts, and key-value pairs, with bounding boxes for traceability.

  • Entity extraction

    Extracts structured entities from documents based on plain-language extraction instructions.

  • Multimodal processing

    Processes text, PDFs, images, audio, and video through a unified pipeline.

  • Native connectors

    Synchronizes content from Google Drive, Notion, Confluence, Slack, and other sources through built-in connectors.

  • Hybrid search

    Combines vector, keyword, and summary indexes to retrieve relevant context.

  • MCP server

    Provides permissioned access to a knowledge base through an AI tools-compatible MCP server.

  • Partitions

    Isolates data by tenant, workspace, or customer to help prevent data leakage and improve retrieval relevance.

  • API delivery

    Delivers structured data, extracted entities, or retrieved context through an API.

Cas d'utilisation

  • #1

    Legal research and drafting

    Supports legal research and drafting with high-recall, high-precision retrieval.

  • #2

    Productivity assistants

    Powers company-specific AI assistants that answer questions across connected workplace tools.

  • #3

    Sales technology

    Retrieves insights from product data, customer interactions, and reviews for sales applications.

Idéal pour :AI teamsDevelopersStartupsLarge enterprisesLegal teamsProductivity teamsSales technology teams

Plans tarifaires

The official homepage advertises a free developer tier and provides Start for free and Book a demo options. Specific paid pricing details are not clearly published in the available source.

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Foire aux questions

What is Ragie?
Ragie is a managed context engine and RAG-as-a-Service platform for building context-powered agents, assistants, and applications.
What types of content can Ragie process?
Ragie processes text, PDFs, images, audio, and video through a unified pipeline.
Which integrations does Ragie support?
The available official-source information lists Google Drive, Notion, Confluence, and Slack, along with other sources supported through native connectors.
Does Ragie support hybrid search?
Yes. Ragie combines vector, keyword, and summary indexes to retrieve relevant context.
Does Ragie provide an MCP server?
Yes. Ragie provides a permissioned, context-aware MCP server for accessing a knowledge base through compatible AI tools.
Does Ragie have a free tier?
The official homepage advertises a free developer tier. Specific paid plan prices are not clearly published in the available source.
How can I contact Ragie?
The available official-source information lists support@ragie.ai for assistance.
Is Ragie currently available?
The official homepage states that the Ragie service will end on July 19. The available source does not provide a year for this date.

Ragie Contacts et réseaux sociaux

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Informations sur l’outil

Modèle tarifaireFreemium
CatégorieAutres
Tags
RAGAI infrastructureContext engineDocument parsingEntity extractionHybrid search
LangueAnglais
Dernière mise à jour16 juil. 2026
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