Ai By Tests
What is Ai By Tests
ai-by-tests is a project that provides application-level AI examples demonstrated through tests, aimed at developers who are interested in AI but may not be familiar with its concepts.
Use cases
Use cases include demonstrating how to perform semantic searches with embeddings and illustrating the RAG process, which involves retrieving relevant documents and generating responses based on them.
How to use
Developers can explore the provided test cases to understand various AI functionalities, such as Retrieval-Augmented Generation (RAG) and embeddings, by reading and executing the tests in the project.
Key features
Key features include practical examples of AI applications, such as semantic search capabilities and the conceptual flow of RAG, which help users grasp complex AI functionalities through hands-on testing.
Where to use
ai-by-tests can be used in fields such as software development, AI research, and education, particularly for those looking to implement AI solutions in their applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Ai By Tests
ai-by-tests is a project that provides application-level AI examples demonstrated through tests, aimed at developers who are interested in AI but may not be familiar with its concepts.
Use cases
Use cases include demonstrating how to perform semantic searches with embeddings and illustrating the RAG process, which involves retrieving relevant documents and generating responses based on them.
How to use
Developers can explore the provided test cases to understand various AI functionalities, such as Retrieval-Augmented Generation (RAG) and embeddings, by reading and executing the tests in the project.
Key features
Key features include practical examples of AI applications, such as semantic search capabilities and the conceptual flow of RAG, which help users grasp complex AI functionalities through hands-on testing.
Where to use
ai-by-tests can be used in fields such as software development, AI research, and education, particularly for those looking to implement AI solutions in their applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
AI By Tests
This project provides examples guided by tests for developers who are interested in AI but are not yet familiar with it. Through reading test cases, you can understand various application-level AI use cases, such as RAG (Retrieval-Augmented Generation), embeddings, and other functionalities provided by the OpenAI platform.
Examples (More to Come)
- KoreanEmbeddingTest
- Demonstrates how similar meanings yield high similarity scores, even when different words are used and the language is Korean.
- Shows embedding-based semantic search capabilities.
- BasicRAGTest
- Set up simple documents in memory for clarity
- Search for a relevant document using the query.
- Generate a response with the retrieved content.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
