Ragie is excited to announce that it is now Agent Ready. With the launch of Agentic Retrieval, Context-Aware MCP Tools, and a suite of platform enhancements—including right-to-left (RTL) language support and expanded document capacity—Ragie empowers developers to build intelligent, context-aware agents backed by robust knowledge bases. Whether leveraging internal company data or user-provided content, Ragie makes delivering agentic AI more accessible than ever.
Agentic Retrieval
Ragie introduces 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. It is 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 redefines agent interactions with data. Its native Streamable HTTP MCP Server now includes Context-Aware descriptions, enabling agents to understand knowledge base content for more accurate and predictable tool routing. Developers can 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
Ragie now supports Right-to-Left (RTL) languages such as Arabic and Hebrew across parsing, OCR, and retrieval. Developers can also ingest and process large-scale files including lengthy PDFs, slide decks, and transcripts efficiently and at scale.
New Connection Options
Ragie Connect introduces flexible integration capabilities, including fully white-labeled authentication flows to maintain brand identity. Dropbox integration and a new Web Crawler with domain controls and link-depth limits provide tailored knowledge ingestion options.
Enterprise-Grade Security & Compliance
Ragie prioritizes trust and security. The platform 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
Ragie is redefining agent development with real context. From retrieval to compliance, the platform equips developers with tools to ship faster, safer, and smarter AI agents.
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