eBay Engineering

Overview

eBay is the canonical long-tail marketplace, with billions of historical listings across every category imaginable, which makes graph traversal, similarity search, and indexing the central technical problems. The blog stands out in three areas that are hard to find good writeups on elsewhere: billion-vertex transactional graph databases including how to export and bulk-load them without downtime, a homegrown billion-scale vector similarity engine running ANN at production latency, and global secondary indexes built for marketplace catalog queries. For interviews, 'eBay's Blazingly Fast Billion-Scale Vector Similarity Engine' is excellent reference material for any vector-search system-design question, and 'How Multimodal Embeddings Elevate eBay's Product Recommendations' anchors discussions of embedding-driven recommendations.

Interview questions

• What can I learn from eBay's engineering blog?
• Which eBay posts are most useful for vector-search interviews?
• Why is eBay's blog valuable for graph-database discussions?

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