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

Supercharge 0CodeKit with Relevance AI

Cohere is a platform that offers advanced natural language processing through a unified API interface. With Relevance AI, you can leverage Cohere's capabilities to create dynamic AI Agents that enhance communication and decision-making.

Give your AI Agents 0CodeKit Superpowers

Cohere provides powerful language models for chat and text classification. Relevance AI amplifies these capabilities by enabling intelligent AI Agents that can automate and optimize your processes.

Advanced Language Mastery

Harness Cohere's enterprise-grade LLM capabilities for sophisticated natural language understanding and generation

Semantic Intelligence

Leverage state-of-the-art text embeddings for enhanced context awareness and deeper content understanding

Adaptive Learning Enhancement

Utilize custom model fine-tuning to continuously improve response accuracy and domain expertise

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Cohere to enhance your workflows with advanced natural language processing capabilities.

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 Cohere and Relevance AI integration utilizes a unified API interface to provide robust natural language processing capabilities, allowing developers to harness Cohere's advanced language models for various applications such as chat and text classification. This integration ensures that only authorized workflows can access the powerful NLP features, thanks to built-in OAuth authentication.

With flexible API customization and support for multiple model types, developers can easily tailor their applications to meet specific needs while maintaining enterprise-grade security and scalability. The integration also handles API operations seamlessly, so you can focus on building your application without worrying about errors or formatting issues.

Built-in validation and type conversion ensure that your workflows run smoothly, even when dealing with varying data formats. Additionally, the integration provides enterprise-ready deployment options, making it suitable for production environments.

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.