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

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI deployments. At the beginning of the modern generative AI era, purpose-built ...

Some NoSQL databases focus on speed, some on scale, while others aim at relationships or offline use. The right choice depends on how your data behaves. Modern systems often use multiple NoSQL ...

Abstract: There are two main approaches to graph databases: based on RDF model and based on labeled property graph model. RDF is well known and studied, but modern graph databases with labeled ...

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

Abstract: Graph databases are taking more and more importance, especially for social networking. For instance, organizations can implement graph databases to represent and query data such as Person1 ...

Microsoft’s recent launch of a standalone version of the MongoDB compatibility layer for its global-scale Azure Cosmos DB brought back an old name. Back in 2018, when the company unveiled a public ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Datavid revolutionizes how organizations unleash the power of their data by employing advanced semantic techniques and Large Language Models (LLMs) to extract, structure, and enrich data with valuable ...