Dandelion is a leading provider of natural language processing solutions that extract meaningful insights from unstructured text data.
Enhance your text analytics capabilities with AI agents that can automatically process, analyze and take action on textual information.
Dandelion provides powerful text analytics and natural language processing capabilities. Relevance AI transforms these capabilities into intelligent AI agents that can analyze, classify, and act on textual data at scale.
Insightful Decision-Making
Agents leverage advanced text analytics to provide actionable insights for informed choices.
Enhanced Customer Understanding
Agents analyze sentiment and intent, enabling deeper connections with customers.
Streamlined Workflow Automation
Agents automate repetitive tasks, increasing efficiency and reducing manual effort.
Relevance AI gives you access to Dandelion's advanced NLP 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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication through Dandelion's API, ensuring protected access to entity extraction and text analysis capabilities. Relevance AI manages API operations seamlessly in the background—handling authentication tokens, request formatting, and rate limits automatically.
Built-in data validation and response parsing ensure consistent results when analyzing text content across different languages 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.
Best Practices for Non-Technical Users
To get the most out of the Dandelion + Relevance AI integration without writing code:
- Optimize API requests: Structure your queries efficiently using Dandelion's entity extraction parameters.
- Validate input data: Ensure text content is properly formatted and encoded before processing.
- Use authentication wisely: Keep OAuth credentials secure and rotate tokens according to best practices.
- Monitor response limits: Stay within Dandelion's API rate limits to prevent service interruptions.
- Test incrementally: Start with small batches of data before processing large datasets.
