GptDuck

Question Answering on Github Repositories

The process of question answering against any Github repository involves taking an input of a Github repository and then downloading it to a server. Following the download, embeddings are created against the code. It is important to note that the repositories must be public and meet certain limitations. Specifically, they should contain less than 200 files and have a total size of less than 100MB.

The initial step in this process is to input the specific Github repository for which the question answering is required. Once this repository has been identified, it is downloaded onto the server. This download is a crucial aspect of the procedure as it allows for the subsequent generation of embeddings from the code present in the repository.

Upon successful download of the repository, the next stage involves creating embeddings against the code. This essentially entails the generation of representations or encoding of the code which will enable further processing and analysis. The creation of embeddings is a fundamental part of this question answering process, as it enables the system to comprehend and respond to queries related to the code.

It is imperative to adhere to certain constraints when choosing the Github repository for question answering. First and foremost, the repositories must be public. This requirement ensures that the code can be accessed and downloaded for further analysis and processing. Additionally, the size of the repository is also a key consideration. Specifically, the repositories should contain less than 200 files and have a total size of less than 100MB. These limitations are in place to ensure that the question answering process can be efficiently executed and that the system can effectively handle the code present in the repository.

In conclusion, question answering against Github repositories involves the download of a specified public repository, followed by the creation of embeddings against the code present in the repository. It is essential to adhere to specific repository size and file limitations to ensure the efficacy and efficiency of the question answering process. By following these procedures and constraints, the system can effectively process and respond to queries related to the code within the Github repository.