Integrations

Supercharge Chaindesk with Relevance AI

Chaindesk is an integration platform that allows developers to build and interact with ChatGPT-powered agents trained on custom data. With Relevance AI, you can elevate these interactions, making them smarter and more responsive to user needs.

Give your AI Agents Chaindesk Superpowers

Chaindesk empowers developers to create and manage custom ChatGPT-powered agents. Relevance AI amplifies this capability by enabling intelligent interactions and dynamic data handling through AI agents that can learn and adapt.

Knowledge Orchestration

Seamlessly connects and synthesizes information from multiple data sources to deliver comprehensive, contextual responses.

Intelligent Workflow Automation

Streamlines complex processes by automatically routing queries, creating tickets, and escalating issues based on context.

Dynamic Response Generation

Creates contextually aware, personalized responses by combining historical data with real-time information.

Tools

Equip AI Agents with the Chaindesk Tools they need

Relevance AI seamlessly integrates with Chaindesk to enhance your workflows with powerful AI agents.

Chaindesk - Submit Message
Sends queries to a ChatGPT agent and retrieves responses, allowing interaction with custom-trained AI agents through the Chaindesk platform
Chaindesk - Update Agent
Modifies existing ChatGPT agent configurations, including name, description, model selection, and visibility settings for custom-trained AI agents
Chaindesk - Update Agent
Modifies existing ChatGPT agent configurations, including name, description, model selection, and visibility settings for custom-trained AI agents
Name
Chaindesk API Call
Description
Make an authorized request to a Chaindesk API
Parameters
["OAuth account authentication", "HTTP method selection (GET, POST, PUT, DELETE, PATCH)", "Custom request headers", "Request body configuration", "API endpoint path customization"]
Use Case
A SaaS company integrates Chaindesk's API to automatically sync customer data between their CRM and knowledge base, enabling real-time updates and maintaining data consistency across platforms. This automation eliminates manual data entry and reduces the risk of outdated information.

Security & Reliability

The Chaindesk integration platform utilizes secure OAuth authentication, ensuring that only authorized workflows can access your ChatGPT-powered agents. This integration allows developers to programmatically manage agents and conversations through a RESTful API, streamlining the process of submitting queries and updating agent configurations.

With built-in support for multiple GPT models and flexible visibility controls, Chaindesk ensures that your custom AI agents operate efficiently and securely. The platform handles API operations (like POST for submitting messages and PUT for updating agents) seamlessly, allowing you to focus on building engaging conversational experiences without worrying about errors or formatting issues.

Additionally, Chaindesk provides robust error handling and validation mechanisms, ensuring that your interactions with the API run smoothly, even when dealing with varying data formats. This makes it easier to manage conversations and maintain the integrity of your AI agents.

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 Chaindesk + Relevance AI integration without writing code:
  • Start with a clear agent setup: Use descriptive names and consistent configurations for your agents.
  • Utilize pre-built templates: Leverage existing workflows for submitting messages and updating agents to streamline your integration process.
  • Connect securely: Ensure you use the correct OAuth credentials and API permissions during setup.
  • Test interactions before scaling: Submit queries using test data first to identify potential issues before going live.
  • Monitor API usage: Be aware of rate limits and implement exponential backoff strategies to manage request frequency.