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

Supercharge 0CodeKit with Relevance AI

Ragie is a powerful RAG-as-a-Service platform that enables developers to integrate advanced document processing and retrieval into their applications. By combining Ragie's capabilities with Relevance AI, you can enhance your applications with intelligent document management and retrieval solutions.

Give your AI Agents 0CodeKit Superpowers

Ragie offers a fully managed RAG service that simplifies document handling. With Relevance AI, you can leverage intelligent AI Agents to automate and optimize your document workflows, making them more efficient and responsive.

Intelligent Document Mastery

Empowers the AI agent with advanced document processing and analysis capabilities across multiple file formats.

Knowledge Graph Orchestration

Enables the agent to build and navigate complex semantic relationships between information pieces for deeper insights.

Rapid Information Synthesis

Accelerates the agent's ability to extract, process, and synthesize information from multiple documents simultaneously.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates Ragie's document processing capabilities into your workflows, enhancing data retrieval and management.

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.
Quick Start

Connect 0CodeKit to Relevance AI in minutes

Security & Reliability

The Ragie integration uses secure OAuth authentication with pipedream-ragie-read-write permissions, ensuring only authorized workflows can access and process documents. Ragie handles complex document partitioning and retrieval operations in the background—so you don't have to worry about chunking strategies, embedding generation, or storage optimization.

Built-in document processing modes and metadata support ensure your RAG workflows run efficiently, even when handling diverse document types and 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.

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.