Category: Engineering

In a previous post, we introduced our systems for running marketing campaigns. Although we sent millions of messages daily, we had little insight into their effectiveness. Did they engage our users with our promotions? Did they encourage more transactions and bookings? As Grab’s business expanded and the number of marketing campaigns increased, understanding the impact […]

Following the announcement we made around a suite of tools for Retrieval Augmented Generation, today we are thrilled to announce the general availability of Mosaic AI Vector Search in Databricks. What is Mosaic AI Vector Search? Vector Search enables developers to improve the accuracy of their Retrieval Augmented Generation (RAG) and generative AI applications through similarity […]

Following the announcement we made around a suite of tools for Retrieval Augmented Generation, today we are thrilled to announce the general availability of Databricks Vector Search.  What is Databricks Vector Search? Vector Search enables developers to improve the accuracy of their Retrieval Augmented Generation (RAG) and generative AI applications through similarity search over unstructured […]

In the fast-paced landscape of data science and engineering, integrating Artificial Intelligence (AI) has become integral for enhancing productivity. We’ve seen many tools emerge and transform the lives of data practitioners, making complex tasks easier and encouraging innovation. When we launched Databricks Assistant in Public Preview in July of 2023, we designed it exclusively for […]

Last year, we launched foundation model support in Databricks Model Serving to enable enterprises to build secure and custom GenAI apps on a unified data and AI platform. Since then, thousands of organizations have used Model Serving to deploy GenAI apps customized to their unique datasets. Today, we’re excited to announce new updates that make […]

In December, we announced a new suite of tools to get Generative AI applications to production using Retrieval Augmented Generation (RAG). Since then, we have seen an explosion of RAG applications being built by thousands of customers on the Databricks Data Intelligence Platform. Today, we are excited to make several announcements to make it easy […]

Teams at eBay regularly draw on the company’s decades of data from billions of listings to find customer insights that help them enhance their experience on the platform. Now sellers can tap into that same trove of sold items data right within eBay’s mobile app, using a service called Product Research that lets them research […]

Are you a U.S. college or university student with a knack for solving thorny problems using machine learning? Sign up for eBay’s annual University Machine Learning Competition and your skills could land you a 2025 summer internship at eBay. eBay serves up a unique ecommerce challenge and dataset for each year’s contest, inviting qualified students […]

In a tech-driven field, staying updated isn’t an option—it’s essential. At Grab, we’re committed to providing top-notch technology services. However, keeping pace can be demanding. At one point in time, our GitLab instance was trailing by roughly 14 months of releases. This blog post recounts our experience updating and formulating a consistent upgrade routine. Recognising the need to […]

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you to query data through a conversational interface, making you more productive inside your Databricks Workspace. The Assistant is powered by DatabricksIQ, the Data Intelligence Engine for Databricks, helping to ensure your data […]