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.
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.
Relevance AI seamlessly integrates Ragie's document processing capabilities into your workflows, enhancing data retrieval and management.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Ragie integration uses secure OAuth authentication with pipedream-ragie-read-write permissions, ensuring only authorized workflows can access and process documents. Ragie handles complex document partitioning and retrieval operations in the background—so you don't have to worry about chunking strategies, embedding generation, or storage optimization.
Built-in document processing modes and metadata support ensure your RAG workflows run efficiently, even when handling diverse document types and formats.
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.
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.
