Peaka is a zero-ETL data integration platform that enables seamless data querying and manipulation across different data sources. Enhance your data operations with Relevance AI, which empowers you to utilize AI Agents for smarter, more efficient data handling.
Peaka's zero-ETL integration allows for efficient data manipulation across various sources. With Relevance AI, you can leverage AI Agents to automate complex data tasks and derive insights effortlessly.
Universal Knowledge Access
Empowers AI agents with instant access to enterprise-wide data through unified search capabilities
Contextual Intelligence
Enhances agent responses with deep semantic understanding and real-time data correlation
Cross-System Fluency
Seamlessly navigates multiple data sources and formats for comprehensive information retrieval
Relevance AI seamlessly integrates with Peaka to enhance your data workflows with powerful querying 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 Peaka account
- A Relevance AI account with access to the projects and datasets you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Peaka integration platform utilizes a zero-ETL approach, allowing seamless access to various data sources without the need for complex data pipelines. With authorized API calls, Relevance AI manages the intricacies of data querying and manipulation, ensuring that your workflows are efficient and error-free.
By leveraging OAuth authentication, only authorized users can interact with your Peaka data, while built-in validation and flexible query execution capabilities ensure that your data operations run smoothly, regardless of the underlying data 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 Peaka + Relevance AI integration without writing code:
- Start with a well-structured Peaka project: Organize your data sources and ensure consistent naming conventions for easier querying.
- Utilize pre-built queries: Leverage Relevance AI's templates for common data operations to streamline your integration process.
- Connect with care: Double-check your OAuth credentials and project ID during setup to avoid authentication issues.
- Test queries before deployment: Execute queries on sample data to validate results and prevent errors in production.
- Monitor API usage: Keep an eye on rate limits and optimize your queries to avoid throttling and ensure smooth performance.
