🔮Vector Database

Overview

Vector databases, often referred to as "vectordbs," are specialized database systems designed to store, manage, and query vector embeddings efficiently. These databases are tailored to handle high-dimensional numerical representations of data that capture semantic relationships, making them particularly suitable for tasks like similarity search, recommendation systems, natural language processing, and machine learning applications.

Supported Vector Databases

Currently we are supporting two vector databases:

• Chromadb

• Weaviate