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

Abstract: Data-driven applications have grown increasingly dependent on the effective management and retrieval of great amounts of semi-structured and unstructured information in the Big Data age.

4.3B LinkedIn-Style Records Found in One of the Largest Data Exposures Ever Your email has been sent A massive, unsecured database containing billions of professional profiles has been left exposed ...

This guide shows how to connect Azure Cosmos DB for NoSQL in DBeaver. Before you can start managing your database, it's essential to establish a connection in DBeaver. This involves selecting the ...

MongoDB is still the most popular NoSQL document database for developers, but compatible alternatives such as DocumentDB offer more choices than ever. At Open Source Summit Europe in August, the Linux ...

People with Google Workspace or Google AI Pro accounts can use Google’s Gemini AI assistant to generate documents in Docs and other Workspace apps. But anybody can use the Canvas tool in the Gemini ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Mobile gadgets have become an inseparable part of our daily lives. Whether it’s for social media browsing, checking emails, managing finances, playing games, or online shopping, people rely heavily on ...

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 ...