Rockset is a serverless analytics platform that enables real-time data querying and search across various data sources. By integrating with Relevance AI, you can transform your data into actionable insights through advanced AI-driven analytics.
Rockset provides a powerful serverless search engine for real-time data analytics. With Relevance AI, you can leverage this capability to create intelligent AI Agents that analyze and act on your data instantly.
Real-time Data Mastery
Empowers AI agents with instant access to live data streams for immediate analysis and decision-making
Cross-source Intelligence
Enables agents to seamlessly analyze and correlate data from multiple sources in real-time without complex coding
Intelligent Event Processing
Enables agents to detect and respond to complex patterns across streaming data in milliseconds
Relevance AI seamlessly integrates with Rockset to enhance your data analytics workflows.
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
- A Rockset account with access to the collections you'd like to use
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The Rockset and Relevance AI integration leverages secure OAuth authentication, ensuring that only authorized workflows can access your data sources. This integration allows you to perform real-time data analytics and search capabilities seamlessly, combining Rockset's serverless search engine with Relevance AI's robust data processing features.
With this integration, you can create live dashboards, real-time data APIs, and execute complex queries across various data sources such as DynamoDB, Kafka, and S3. Relevance AI manages API operations (like creating collections, adding documents, and making API calls) in the background, so you don’t have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. Follow the setup instructions to get started with your integration and unlock the full potential of your data analytics capabilities.
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.
Best Practices for Non-Technical Users
To get the most out of the Rockset + Relevance AI integration without writing code:
- Start with a clean Rockset collection: Use clear field names and consistent data formats to ensure smooth data ingestion.
- Utilize pre-built integrations: Relevance AI provides templates for connecting various data sources like S3 and DynamoDB, making setup easier.
- Configure permissions carefully: Ensure you have the correct OAuth credentials and IAM roles set up for seamless access to your data sources.
- Test API calls with sample data: Validate your API calls and document uploads using test data to avoid issues in production.
- Monitor performance metrics: Keep an eye on query performance and optimize indexing strategies to enhance data retrieval speeds.
