-
Notifications
You must be signed in to change notification settings - Fork 124
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Custom Model Guidance #1
Comments
1, 2, 3: Please refer to the detailed walkthrough in our Jupyter Notebook example, which is available at this link. In this notebook, we provide step-by-step instructions on how to set up RAPTOR, including the integration of a custom model. 4: Yes, setting up custom models will preserve the methods of RAPTOR, including the RetrievalAugmentation function. This means that the core functionalities of RAPTOR, such as document retrieval and augmentation, remain intact and operational even when you integrate a custom model. Thanks for your interest in RAPTOR, and I hope this helps! If you have any more questions, feel free to ask. |
|
Hi, making another comment just in case the previous one got missed. |
|
Is there a section on how to tweak the configs to use different chunk sizes, and also different open ai embeddings and models? And is there a way to visualize or get the details of the created tree? |
Hi, thanks for sharing the code publicly. I have a few questions about using a custom model for RAPTOR:
Thanks in advance! Was looking forward to this work :)
The text was updated successfully, but these errors were encountered: