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Ragie Launches Agent Ready with Agentic Retrieval and MCP Tools


Ragie Launches Agent Ready with Agentic Retrieval and MCP Tools
  • by: PR Newswire
  • |
  • September 29, 2025

Ragie, a leading AI platform for knowledge bases and retrieval, has announced it is now Agent Ready. With the launch of Agentic Retrieval, Context-Aware MCP Tools, and a suite of powerful platform enhancements—including right-to-left (RTL) language support and expanded document capacity—Ragie is empowering developers to build intelligent, context-aware agents backed by robust knowledge bases. Whether sourced from internal company data or user-provided content, Ragie makes delivering agentic AI more accessible than ever.

Quick Intel

  • Ragie launches Agent Ready, introducing Agentic Retrieval for multi-step query decomposition and self-checking with citations, available via APIs, SDKs, and Base Chat as Deep Search.
  • World's first Context-Aware Model Context Protocol (MCP) Server enables agents to understand knowledge base content for accurate tool routing and seamless integration.
  • Platform enhancements include RTL support for Arabic and Hebrew in parsing, OCR, and retrieval, plus processing for large files like PDFs and transcripts.
  • New connection options: White-labeled authentication, Dropbox teams support, and Web Crawler with domain controls and link-depth limits.
  • Enterprise-grade security: SOC 2 Type II, GDPR, HIPAA compliant, with AES-256 encryption, role-based access, and partition isolation.
  • Launch week spotlights features through September 29–October 3, 2025, highlighting production-scale agentic AI.

The Next Generation of Ragie: Agent-Ready and Enterprise-Scale

Over the next five days, Ragie will showcase its latest innovations with a series of in-depth feature spotlights, starting September 29, 2025.

Agentic Retrieval

Introducing a next-generation, multi-step retrieval engine designed to handle complex queries. Agentic Retrieval decomposes questions, identifies relevant sources, self-checks results, and compiles grounded answers with citations. Available through Ragie APIs, SDKs (with partition and permission support), and integrated into Base Chat as Deep Search.

World's First Context-Aware Model Context Protocol (MCP) Server

Ragie is redefining how agents interact with data. Its native Streamable HTTP MCP Server now features Context-Aware descriptions, enabling agents to understand the actual content of your knowledge base for more accurate and predictable tool routing. Connect any agent or MCP client seamlessly with Ragie's Context-Aware MCP Server—the first of its kind.

Platform Enhancements: Right-to-Left Language Support & Large Documents

Expanding global accessibility, Ragie now supports Right-to-Left (RTL) languages such as Arabic and Hebrew across parsing, OCR, and retrieval. Additionally, developers can ingest and process large-scale files, including lengthy PDFs, slide decks, and transcripts, with confidence and scale.

New Connection Options

Ragie Connect introduces flexible integration capabilities, including fully white-labeled authentication flows to keep your brand front and center. Teams support for Dropbox has been added, along with a new Web Crawler featuring domain controls and link-depth limits for more tailored knowledge ingestion.

Enterprise-Grade Security & Compliance

Trust remains core to Ragie's mission. Ragie is SOC 2 Type II, GDPR, and HIPAA compliant, with AES-256 encryption for data at rest and TLS for data in transit. Role-based access, partition-level isolation, and strict data boundaries ensure enterprise-grade protection for every deployment.

What's Next for Agentic AI

Ragie is redefining what it means to build agents with real context. From retrieval to compliance, the platform gives developers the tools to ship faster, safer, and smarter. Stay tuned this week as Ragie unveils deeper insights into each new feature. The future of agentic AI isn't just on the horizon—it's here. Ragie is Agent Ready.

About Ragie

Ragie is a knowledge base and retrieval platform that empowers developers to build agentic AI with robust, context-aware tools. By combining advanced retrieval, MCP integration, and enterprise security, Ragie enables seamless, production-scale AI applications. Learn more at ragie.ai.

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