Version Control for Models
AI Infrastructure
Database optimized for storing, indexing, and querying high-dimensional vector embeddings for similarity search.
Detailed Explanation
A vector database is a specialized system designed to efficiently store, index, and retrieve high-dimensional vector embeddings, which represent data such as images, texts, or audio. It enables rapid similarity searches, making it crucial for AI applications like recommendation systems, facial recognition, and natural language processing, where identifying closest matches in large datasets is essential.
Use Cases
- •Enhances facial recognition accuracy by quickly finding similar images in large datasets using high-dimensional vector similarity searches.
Related Terms
Other terms in the AI Infrastructure category