Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

The modern video game industry has reached an unprecedented scale, with approximately 3.32 billion active players around the globe as of 2025. From mobile titles and casual browser games to massive ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Microsoft’s donation of DocumentDB to the Linux Foundation marks a strategic shift in the NoSQL database landscape, creating the first vendor-neutral document database standard that could reshape how ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

Abstract: NoSQL databases, known for their flexibility and scalability, have become pivotal in handling diverse and unstructured data. However, their schema-less nature introduces significant ...

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...

Central to successful AI implementations is establishing a robust tech stack to support its demands. When it comes to the database layer, the choice between traditional relational databases, vector ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...