Integrations

Supercharge Hansei with Relevance AI

Hansei is an integration platform that facilitates AI-powered data interactions through a robust API system. By incorporating Relevance AI, you can elevate your data analysis and conversational capabilities, making your applications smarter and more responsive.

Give your AI Agents Hansei Superpowers

Hansei empowers developers to create intelligent conversational interfaces and manage data collections effortlessly. With Relevance AI, these capabilities are amplified, enabling AI Agents to analyze and act on data in real-time.

Decision Transparency Mastery

Empowers agents with detailed insights into their decision-making process, ensuring clear understanding of every recommendation.

Regulatory Compliance Shield

Automatically validates agent actions against compliance frameworks, maintaining adherence to industry regulations and standards.

Audit Trail Automation

Creates comprehensive documentation of agent decisions and actions for complete operational transparency.

Tools

Equip AI Agents with the Hansei Tools they need

Relevance AI seamlessly integrates with Hansei to enhance your AI-driven data interactions within workflows.

Hansei - Get Bot Conversations
Retrieves conversation history and interactions from specific AI-powered bots within the Hansei platform, enabling analysis of chat data and bot performance
Hansei - Get Collections
Fetches available data collections from the Hansei platform, allowing users to access and manage organized sets of information for AI-powered analysis
Hansei - Get Collections
Fetches available data collections from the Hansei platform, allowing users to access and manage organized sets of information for AI-powered analysis
Hansei - Get Bots
Retrieves a list of available AI-powered assistants and their configurations from the Hansei platform, enabling bot management and deployment
Name
Hansei API Call
Description
Make an authorized request to a Hansei API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A data science team uses Hansei API Call to automatically fetch and analyze model performance metrics across their ML pipeline, enabling them to quickly identify and address model drift issues before they impact production systems.

Security & Reliability

The Hansei integration platform utilizes secure OAuth authentication, ensuring that only authorized applications can access your AI-powered data interactions. This integration allows developers to seamlessly manage and interact with AI assistants and data collections through a robust RESTful API, simplifying the creation of intelligent conversational interfaces and data analysis tools.

With built-in validation and flexible bot management capabilities, the Hansei integration ensures that your workflows run efficiently, even when dealing with varying data formats. The platform supports various API operations (GET, POST, PUT, DELETE, PATCH), allowing for comprehensive data manipulation without the hassle of manual error handling or formatting issues.

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 Hansei + Relevance AI integration without writing code:
  • Start with a clear bot structure: Use descriptive bot names and consistent conversation flows to enhance user experience.
  • Utilize pre-built templates: Leverage existing bot templates and workflows to accelerate your integration process.
  • Connect securely: Ensure you configure OAuth credentials correctly and verify permissions during setup.
  • Test interactions thoroughly: Validate bot responses and data interactions with test scenarios before deploying to production.
  • Monitor API usage: Keep an eye on rate limits and implement throttling to avoid service interruptions.