-
Notifications
You must be signed in to change notification settings - Fork 19.7k
fix: include doc_type for image hit-testing #31307
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
base: main
Are you sure you want to change the base?
fix: include doc_type for image hit-testing #31307
Conversation
ensure image hit-testing can map vectors back to segments
Summary of ChangesHello @LukaErnestini, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request addresses an issue in image hit-testing by incorporating the Highlights
🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console. Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Code Review
The pull request effectively addresses the requirement to include doc_type for image hit-testing by adding it to the default vector attributes. This change directly supports multimodal capabilities and enhances the accuracy of document retrieval based on type.
| def __init__(self, dataset: Dataset, attributes: list | None = None): | ||
| if attributes is None: | ||
| attributes = ["doc_id", "dataset_id", "document_id", "doc_hash"] | ||
| attributes = ["doc_id", "dataset_id", "document_id", "doc_hash", "doc_type"] |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The addition of doc_type to the default attributes list is a good improvement for multimodal support. To make this more precise and potentially avoid indexing doc_type for datasets that are not multimodal, consider making its inclusion conditional based on the dataset.is_multimodal property. This ensures that doc_type is only added when it's relevant, optimizing metadata storage and indexing for text-only datasets.
| attributes = ["doc_id", "dataset_id", "document_id", "doc_hash", "doc_type"] | |
| attributes = ["doc_id", "dataset_id", "document_id", "doc_hash"] + (["doc_type"] if dataset.is_multimodal else []) |
Summary
doc_typein default vector attributes for image hit-testingI've been facing the issue of not being able to do a retrieval by passing an image. I found this to be the reason.