Rosette Text Analytics is a sophisticated NLP platform that extracts meaningful insights from unstructured text data.
Enhance your text analysis capabilities with AI agents that can automatically process, analyze, and take action on textual content.
Rosette Text Analytics delivers powerful natural language processing and text analysis capabilities. Relevance AI transforms these capabilities into intelligent AI agents that can understand, analyze, and act on textual data at scale.
Insightful Understanding
The agent can analyze customer sentiments to provide deeper insights into preferences.
Efficient Workflow Automation
Automates text analysis processes, significantly reducing manual effort and time.
Data-Driven Decision Making
Empowers organizations with actionable insights for informed strategic choices.
Relevance AI gives you access to Rosette's advanced text analytics capabilities within your AI agent 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 Rosette Text Analytics account
- A Relevance AI account with access to your project settings
- Authorization credentials (API keys will be securely stored)
Security & Reliability
The integration leverages secure OAuth authentication to access Rosette Text Analytics APIs, with Relevance AI managing all API operations and text analysis requests behind the scenes. The system handles data validation, language processing, and entity extraction automatically.
Built-in error handling and response formatting ensure consistent text analytics results across different content types and languages.
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 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.
