For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

New techniques make graph databases a powerful tool for grounding large language models in private data.

Artificial intelligence has proven repeatedly to have issues with accuracy — and using it as a coding assistant creates more ...

Data lakes, along with data warehouses and databases, are central to modern computing. They form building blocks for data transformation.

The information in a marketing database can be used to achieve significant business benefits by supporting and improving performance across the whole spectrum of sales and marketing techniques ...

In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can ...

By using Postgres as a base for vector storage we can use familiar tools to look inside and inspect what exactly is stored inside a vector database.

Using null arguments or search patterns in database metadata methods results in generating time-consuming queries. In addition, network traffic potentially increases due to unwanted results.

The database, if defined correctly, has indexes that it can use to speed up the query if you tell it to filter records such that it consumes less memory, less CPU and less network bandwidth.