Document360 is a knowledge base platform that allows teams to create, manage, and organize documentation efficiently. With Relevance AI, you can leverage AI Agents to enhance your documentation processes and unlock deeper insights.
Document360 provides a powerful knowledge base platform for creating and managing documentation. Relevance AI amplifies this by enabling AI Agents to automate tasks and derive insights from your documentation data.
Knowledge Orchestration
The AI agent seamlessly coordinates and synthesizes information across Document360's extensive knowledge hierarchy for instant, accurate responses.
Dynamic Content Synthesis
Combines multiple knowledge base articles to create comprehensive, contextual responses tailored to specific queries.
Proactive Documentation Enhancement
Identifies knowledge gaps and suggests content updates based on user interactions and emerging patterns.
Relevance AI seamlessly integrates with Document360, enhancing your documentation workflows with intelligent capabilities.
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
This integration enables seamless interaction between Document360's knowledge base platform and Relevance AI's services, allowing you to programmatically create, manage, and organize documentation while leveraging Document360's robust API capabilities. Key benefits include automated document creation and management, streamlined category organization, OAuth-based secure authentication, and RESTful API access to Document360 features.
To get started, ensure you have a Document360 account with API access and the necessary OAuth credentials. You will also need a suitable environment that supports HTTPS and JSON parsing, along with an API client like cURL or Postman.
Authentication is set up by requesting an OAuth token, which is essential for making API calls. Once authenticated, you can create new documents by sending a POST request to the Document360 API with the required payload, including project version ID, category ID, title, user ID, and content.
For custom API calls, you can configure the method and path, ensuring you include the necessary headers for authorization. Common issues such as authentication errors or invalid project version IDs can be resolved by verifying your credentials and checking the API permissions in Document360 settings.
Implementing best practices like input validation, error handling, and secure token management will enhance the reliability of your integration. For further assistance, refer to the Document360 API documentation or reach out to support.
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 Document360 + Relevance AI integration without writing code:
- Start with a well-structured knowledge base: Organize categories and documents logically to enhance navigation and usability.
- Utilize the API documentation: Familiarize yourself with Document360's API capabilities to leverage its full potential.
- Secure your OAuth credentials: Keep your OAuth Account ID and access tokens confidential to prevent unauthorized access.
- Test API calls with sample data: Use test documents and categories to validate your integration before deploying it in a live environment.
- Monitor API usage: Keep track of your API calls to avoid hitting rate limits and ensure smooth operation.
