Approximate Nearest Neighbor Search (ANNS) is a fundamental vector search technique that efficiently identifies similar items in high-dimensional vector spaces. […]
Category: Databases
Weaviate Researchers Introduce Function Calling for LLMs: Eliminating SQL Dependency to Improve Database Querying Accuracy and Efficiency
Databases are essential for storing and retrieving structured data supporting business intelligence, research, and enterprise applications. Querying databases typically requires […]
This AI Paper Propose SHARQ: An Efficient AI Framework for Quantifying Element Contributions in Association Rule Mining
Data mining is vital for uncovering meaningful patterns and relationships within large datasets. These insights enable informed decision-making across diverse […]