SemanticValidation 0.10.0-beta

Semantic Validation

SemanticValidation is a library that integrates OpenAI’s powerful language models with validation systems. It allows you to perform semantic checks on your data and queries using natural language understanding.

It brings the power of OpenAI into the validation systems as easily as this:

var result = Semantic.AreSimilar("This automobile is red", "The car is red");

Console.WriteLine(result.IsValid);
// true

The interesting part is that: When it fails, it explains why! (thanks to OpenAI)

var result = Semantic.AreSimilar("This bicycle is red", "The car is red");

Console.WriteLine(result.IsValid);
// false

Console.WriteLine(result.Reason);
// The first text describes a red bicycle, while the second text describes a red car. They are not semantically equivalent.

Under the hood, it uses OpenAI and SemanticKernel to do all the semantic stuff.

There are other semantic methods available too. The HasConditoin checks if a text meets a special condition. And again watch how great it describes the reason for semantic validation failure.

var result = Semantic.HasCondition(
                text: "This car is red",
                condition: "It talks about trees"

Console.WriteLine(result.IsValid);
// false

Console.WriteLine(result.Reason);
// The input text does not talk about trees

Features

• Brings the power of OpenAI into the validation systems: You can use OpenAI's language models to perform semantic validation on your data and queries with a simple and intuitive syntax.
• Provides explanatory feedback: When a semantic check fails, it explains why, thanks to OpenAI's natural language generation capabilities.
• Uses OpenAI and SemanticKernel under the hood: Semantic Validation relies on OpenAI and SemanticKernel to do all the semantic stuff. SemanticKernel is a library that provides a unified interface to interact with OpenAI's language models.

Requirements

• .NET 8.0 or higher
• An OpenAI API key

Installation

Semantic Validation is available as a NuGet package that you can easily install in your project. To do so, run the following command in your terminal:

dotnet add package SemanticValidation

Next, you need to create an instance of the Semantic class and pass your OpenAI subscription details as parameters:

var semantic = new Semantic(deployment, endpoint, apiKey);

That's it! You are ready to use Semantic Validation in your code. 😊