2 papers
cs.IR2025
Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search
Ilias Azizi, Karima Echihab, Themis Palpanas +1
Vector data is prevalent across business and scientific applications, and its popularity is growing with the proliferation of learned embeddings. Vector data collections often reac…
cs.IR2025
Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
Ilias Azizi, Karima Echihabi, Themis Palpanas
Vector data is prevalent across business and scientific applications, and its popularity is growing with the proliferation of learned embeddings. Vector data collections often reac…