Integrations

Supercharge Intellexer with Relevance AI

Intellexer is an API that offers powerful natural language processing features, including text summarization and named entity extraction. With Relevance AI, you can leverage these capabilities to create intelligent workflows that enhance decision-making and automate complex tasks.

Give your AI Agents Intellexer Superpowers

Intellexer provides robust natural language processing features like text summarization and entity extraction. Relevance AI amplifies these capabilities, enabling AI Agents to intelligently process and act on insights derived from your text data.

Deep Semantic Understanding

Empowers the AI agent with advanced linguistic comprehension to extract meaningful context and relationships from any text.

Intelligent Content Synthesis

Enables the agent to automatically generate precise summaries while preserving critical information from complex documents.

Knowledge Discovery Acceleration

Supercharges the agent's ability to rapidly extract and connect valuable insights from large document collections.

Tools

Equip AI Agents with the Intellexer Tools they need

Relevance AI integrates seamlessly with Intellexer, enhancing your workflows with advanced text analysis capabilities.

Intellexer API - Summarize Text
Analyzes and generates summaries from provided text content using semantic processing, with options to extract concepts, named entities and control summary length
Intellexer API - Summarize Document
Creates summaries from web-based documents by URL, offering semantic analysis with configurable concept extraction and summary generation options
Intellexer API - Extract Named Entities
Identifies and extracts named entities from web documents, with capabilities to analyze relationships and source context
Intellexer API - Detect Language
Analyzes text content to identify and determine the language of the provided text sample
Name
Intellexer API Call
Description
Make an authorized request to a Intellexer API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body configuration", "API endpoint path customization"]
Use Case
A content management team uses Intellexer API to automatically analyze and extract key information from thousands of articles, enabling them to efficiently categorize and tag content while maintaining consistent metadata across their digital library.

Security & Reliability

The Intellexer API integration leverages advanced natural language processing capabilities, allowing developers to enhance their applications with features like text summarization, named entity extraction, and language detection. This integration ensures that only authorized workflows can access the Intellexer services through secure OAuth authentication.

Relevance AI manages API operations seamlessly in the background, handling requests such as POST for summarization and entity extraction, so you can focus on building your application without worrying about errors or formatting issues.

With built-in validation and type conversion, your workflows will run smoothly, accommodating various data formats while ensuring compliance with required permissions and system requirements.

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 Intellexer + Relevance AI integration without writing code:
  • Start with a clear API setup: Ensure your OAuth credentials are valid and permissions are correctly configured.
  • Use sample payloads: Leverage provided examples for summarization, entity extraction, and language detection to get started quickly.
  • Connect securely: Always use HTTPS for API calls to protect your data during transmission.
  • Test with small data: Begin with short texts or simple documents to validate functionality before processing larger datasets.
  • Monitor API usage: Keep track of your API calls to avoid hitting rate limits and implement caching where possible.