Integrations

Supercharge Ragie with Relevance AI

Ragie is a powerful RAG-as-a-Service platform that enables developers to integrate advanced document processing and retrieval into their applications. By combining Ragie's capabilities with Relevance AI, you can enhance your applications with intelligent document management and retrieval solutions.

Give your AI Agents Ragie Superpowers

Ragie offers a fully managed RAG service that simplifies document handling. With Relevance AI, you can leverage intelligent AI Agents to automate and optimize your document workflows, making them more efficient and responsive.

Intelligent Document Mastery

Empowers the AI agent with advanced document processing and analysis capabilities across multiple file formats.

Knowledge Graph Orchestration

Enables the agent to build and navigate complex semantic relationships between information pieces for deeper insights.

Rapid Information Synthesis

Accelerates the agent's ability to extract, process, and synthesize information from multiple documents simultaneously.

Tools

Equip AI Agents with the Ragie Tools they need

Relevance AI seamlessly integrates Ragie's document processing capabilities into your workflows, enhancing data retrieval and management.

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Quick Start

Connect Ragie to Relevance AI in minutes

Security & Reliability

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Ragie + Relevance AI integration without writing code:
  • Start with a clear document structure: Use meaningful document names and consistent metadata formats for better organization.
  • Leverage document modes: Choose 'hi_res' for accuracy-critical documents and 'fast' for quicker processing needs.
  • Manage OAuth credentials carefully: Ensure you have the correct permissions and valid tokens for seamless integration.
  • Test document uploads: Validate file paths and formats in a controlled environment before scaling to production.
  • Monitor API responses: Implement error handling and log status codes to quickly identify and resolve issues.