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Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge 0CodeKit with Relevance AI

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.

Give your AI Agents 0CodeKit Superpowers

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

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Rockset to enhance your data analytics workflows.

0codekit - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
0codekit API Call
Description
Make an authorized request to a 0codekit API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses 0codekit API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the 0CodeKit + Relevance AI integration without writing code:
  • Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
  • Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
  • Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
  • Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
  • Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.