Semantic Matching Agent

The Semantic Matching agent evaluates the semantic similarity between two texts, providing a score and detailed analysis of their alignment in meaning.

The Semantic Matching agent addresses the challenge of understanding and quantifying the semantic similarity between two pieces of text. In many scenarios, such as content analysis, plagiarism detection, or natural language understanding, it is crucial to determine how closely two texts align in terms of meaning, intent, and sentiment. This agent provides a structured and nuanced approach to evaluating these factors, ensuring that users receive a comprehensive understanding of the relationship between the texts.

To solve this problem, the agent analyzes various aspects of the texts, including their context, intent, sentiment, key concepts, and vocabulary. It assigns a similarity score ranging from 0 to 1, where 0 indicates no similarity and 1 indicates perfect alignment in meaning. Beyond the numerical score, the agent delivers a detailed explanation that highlights shared ideas, differences in context or intent, and notable vocabulary comparisons. This ensures that users not only receive a quantitative measure but also a qualitative understanding of the texts' relationship.

The agent operates using a robust system prompt and schema-based input/output structure. This agent helps ensure nuanced, human-like understanding of language, making it valuable for tasks such as paraphrase detection, duplicate content review, or relevance scoring in document matching.

How to use

1. Click the Download button.
2. In the Downloading an agent template window, select Download Solution. A .uis file containing the agent definition is downloaded to your machine.
3. Agent templates can also include Extras, a separate package containing assets for your agent (automations, custom escalations). Select Download Extras. A .zip file is downloaded to your machine.
4. In Studio Web, import the Agent definition .uis file as described in Importing a project downloaded from Studio Web.
5. If there are extras to upload, go to Solutions. For details, refer to Accessing the Solutions UI.
6. Upload the .zip file, as explained in Transporting a solution package, then deploy the solution. For details, refer to Deploying the solution.
7. You can now access your agent template from Studio Web and add any other tools deployed to your tenant.

• An Agent definition purpose built for a specific task that you can open within Studio Web
• Best practices built-in including a high Agent score
• Multiple evaluation sets to ensure reliability and see example input and output
• Prebuilt tools contained within a Solutions Management file
• A starting point with the ability to expand and modify to specific needs