Exa (Formerly Metaphor) is an integration platform that offers powerful AI-driven web search capabilities through a RESTful API. With Relevance AI, you can leverage these capabilities to create smarter, more efficient workflows that harness the full potential of web content.
Exa provides advanced AI-driven search functionalities that can uncover relevant content beyond traditional methods. Relevance AI amplifies this by enabling intelligent AI Agents to automate and optimize your search processes.
Contextual Intelligence Mastery
Agent gains deep understanding of search intent and semantic relationships to deliver highly relevant results
Real-Time Knowledge Synthesis
Agent continuously discovers and processes fresh web content to maintain current and comprehensive insights
Research Velocity Enhancement
Agent dramatically accelerates information gathering and analysis through neural search capabilities
Relevance AI seamlessly integrates with Exa to enhance your web search capabilities within your 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 Metaphor API account
- A Relevance AI account with access to your workspace
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The Exa (Formerly Metaphor) integration leverages a robust RESTful API to deliver AI-driven web search capabilities, enabling developers to perform neural and keyword searches seamlessly. With secure OAuth authentication, only authorized workflows can access the powerful features of Exa, ensuring data integrity and security.
Utilizing embedding-based technology, Exa excels at understanding context and retrieving highly relevant content that traditional search engines may overlook. The integration handles API operations (like GET, POST, PATCH, DELETE) in the background, allowing developers to focus on building applications without worrying about errors, formatting, or limits.
Built-in validation and type conversion ensure that your workflows run smoothly, even when data formats vary. The platform supports advanced features such as date and domain filtering, enhancing the precision of search results and content retrieval.
For optimal performance, it is recommended to implement error handling for API responses, monitor API usage limits, and utilize the autoprompt feature for improved search accuracy. With Exa, developers can unlock the full potential of AI-driven content discovery and retrieval.
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.
To get the most out of the Exa (Formerly Metaphor) + Relevance AI integration without writing code:
- Start with clear search queries: Use specific and declarative phrases to improve search relevance.
- Leverage autoprompt: Enable the autoprompt feature to enhance search results and discoverability.
- Monitor API usage: Keep track of your API call limits to avoid rate limiting and ensure smooth operation.
- Test with sample data: Validate your integration with test queries and documents before deploying in a production environment.
- Implement error handling: Prepare for potential API errors by incorporating robust error handling and retry logic in your application.
