GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...

According to God of Prompt on Twitter, Graph Retrieval-Augmented Generation (Graph RAG) enables relationship traversal by connecting customer tickets, API documentation, engineering discussions, and ...

According to @godofprompt, leading AI systems at frontier labs are utilizing hybrid retrieval by integrating vector search for broad initial matching and graph traversal for deep contextual ...

Abstract: Control flow graph models program execution paths and is essential for program analysis and compiler optimizations. Compilers traverse thousands of graphs during compilation, thus, efficient ...

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

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 ...

An interactive educational tool built in C++ using the Qt framework. This project provides intuitive visualizations of sorting algorithms and graph traversal techniques, making it an excellent ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

From his earliest gaming memories playing Spyro 2 on the PlayStation, to being obsessed with the swing-out animations in Marvel's Spider-Man, Cameron has always been, and continues to be, in love with ...