This article highlights the importance of text deduplication and introduces Xorbits' scalable solution to this problem.

We're thrilled to announce Xorbits Inference, a solution designed for large-scale model inference tasks!

This article illustrates how to build an article recommendation engine by leveraging Xorbits for generating embedding vectors and utilizing Pinecone as a vector database.

This article details the bottleneck of the Pandas rolling correlation function and presents our approach to solving it.

Are you ready to take your data analysis experience to the next level? The revolutionary Pandas 2.0 is coming! Read this article to learn about the heavyweight new features, such as Arrow integration and the introduction of Copy-on-write. Deeply understand Pandas 2.0 and unlock the door to a new world of data analysis.

This article introduces the optimization of deferred execution in version 0.2.0 from a technical perspective.

After the release of Xorbits, we received several bug reports and user suggestions. We highly value user feedback, and therefore, the new version mainly focuses on improving the user experience.

Explore one of the most classic dataset using Xorbits, gain a better understanding of the capabilities of Xorbits, its ease-of-use, and how it can be integrated with other Python libraries to streamline your data analysis workflow.

Xorbits aims to be as user-friendly, intuitive, and efficient as possible for deployment and execution.