# AI troubleshooting ## "Failed to load PyTorch native library" while trying the AI chat If you encounter this error, download the latest [Visual C++ redistributable from Microsoft](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170#latest-microsoft-visual-c-redistributable-version). This installation is only required for AI features in JabRef, all other features can work without it. Also, if multiple installations of CUDA are installed, JabRef's Version first needs to be added to the PATH. For example, on Windows this would be adding `C:\Users\USER\.djl.ai\pytorch\CUDA-VERSION` to the Environment Variables. See [how to edit environment variables on Windows 10 or 11](https://www.howtogeek.com/787217/how-to-edit-environment-variables-on-windows-10-or-11/). If you still have issues, the [DJL documentation](https://docs.djl.ai/master/docs/development/troubleshooting.html#unsatisfiedlinkerror-issue) might be of help. ## JabRef closed or crashed in the middle of downloading the embedding model Do not worry! It could be as simple as only having to delete the embedding model cache. The name of the folder is `.djl.ai`, and it is located in your home directory. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.jabref.org/ai/troubleshooting.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.