Leveraging Vector Databases to Power High-Dimensional Search for Embeddings

Brief Article

In the era of generative AI and large language models (LLMs), traditional databases fall short when dealing with unstructured, high-dimensional data. This is where vector databases come in—purpose-built to store, index, and query embeddings produced by modern machine learning models.

In this article, we’ll dive into:

• What vector databases are and why they…