Vector Database

Overview

A specialized type of database designed to store and manage high-dimensional vectors data, often used to represent embeddings of text, images, or other data types. Vector databases are optimized for performing similarity searches and nearest neighbor queries, which are essential operations in many AI applications, such as semantic search engines and RAG systems. They can provide optimized performance for vector-based queries compared to traditional relational databases, efficiently retrieving similar vectors based on a query vector. They are crucial for applications that depend on semantic similarity of data.

Related Concepts

• Vectors
• Vector Search
• Embedding
• Vectorization
• Semantic Search
• RAG
• Information Retrieval