Integrations

Supercharge Cohere 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 Cohere 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 Cohere Tools they need

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

Cohere - Chat
An AI chat interface that enables natural language interactions with Cohere's language models, allowing for customizable text generation with controls for randomness, token limits, and response characteristics.
Cohere - Classify Text
A text classification tool that categorizes input text into predefined classes using Cohere's language models, supporting multiple inputs and various model options for different language requirements.
Cohere - Classify Text
A text classification tool that categorizes input text into predefined classes using Cohere's language models, supporting multiple inputs and various model options for different language requirements.
Name
Cohere API Call
Description
Make an authorized request to a Cohere API
Parameters
["oauth_account_id", "method", "path", "body", "headers"]
Use Case
A software company uses the Cohere API Call to integrate real-time language processing into their customer service platform, automatically analyzing incoming support tickets and routing them to the appropriate department based on content and urgency.
Quick Start

Connect Cohere 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 Cohere + Relevance AI integration without writing code:
  • Start with clear API configurations: Ensure your OAuth credentials and base URL are correctly set up for seamless integration.
  • Utilize built-in models: Leverage Cohere's pre-trained models for chat and text classification to accelerate development.
  • Test API calls: Validate your requests with sample data before deploying to production to catch any issues early.
  • Implement error handling: Use try-catch blocks to manage exceptions and log errors for troubleshooting.
  • Monitor usage: Keep an eye on API quotas and implement caching strategies to optimize performance and reduce costs.