Microsoft is developing a semantic search function for its AI tool, Copilot. This feature will allow users to search for code in a more intuitive way, using natural language queries rather than traditional keyword searches. The semantic search will understand the context of the query, making it easier for developers to find relevant code snippets.

The new feature is powered by a machine learning model trained on billions of lines of code. The model has been designed to understand code in the same way a human does, taking into account the syntax, semantics, and structure of the code. This means it can interpret complex queries and return accurate results, even if the exact words in the query are not present in the code.

Microsoft is also working on a semantic index for Copilot, which will allow the tool to understand code at a deeper level. This will enable Copilot to generate code that is more accurate and relevant to the user’s needs. The semantic index will be based on a graph database, which will store information about the relationships between different pieces of code.

Overall, the new features aim to make Copilot a more powerful and intuitive tool for developers. They are part of Microsoft’s ongoing efforts to improve the AI’s understanding of code and its ability to assist with programming tasks.

Go to source article: https://learn.microsoft.com/en-us/microsoftsearch/semantic-index-for-copilot