Here’s an easy-to-follow guide to solve hierarchical data traversal issues in Spark using GraphFrames, along with some alternative methods to improve performance. If you’re working with hierarchical ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...

During HNSW graph traversal, we are having to oversample 3x for BBQ to bring up the recall to a nice level. While 3x isn't so bad, any deep traversal for HNSW is nasty. I wonder if we can gain some ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

They met at 10 p.m. each weeknight, after class at Columbia University. Sometimes talking over Zoom until 2 AM, Anish Agarwal, Raaz Dwivedi, Ahmed Lone, and Raj Agrawal talked about what it might mean ...

So, you want to get good at LeetCode, especially using Java? It’s a common goal for a lot of us trying to land those tech jobs. This guide is all about helping you get there. We’ll go over how to ...

Approximate Nearest Neighbor Search (ANNS) is a fundamental vector search technique that efficiently identifies similar items in high-dimensional vector spaces. Traditionally, ANNS has served as the ...