Hello, good evening, this is Yasharia!Recently, there is a conversation I often hear in the engineering community."If AI ...

LLMs will write your code and break your budget. Take advantage of model routing, semantic caching, prompt caching, reranking ...

Learn how AlloyDB AI eliminates complex multi-step application code, combining vector and full-text search into a single, high-performance SQL call.

DB clients tend to be a chaotic mix of tools that vary slightly from team to team. Mac users have TablePlus, Windows users have HeidiSQL, and checking on Linux servers is done by typing directly into ...

The molecular culprit behind harmful algal blooms and some groundwater contamination is the same thing that has kept civilization fed for millennia: a stable form of nitrogen called nitrate. Nitrates ...

A range of AI trust, guardrail, and red-teaming platforms is emerging to help control and secure the LLMs and agents deployed across your enterprise. Here’s an overview of the most promising tools ...

Excel Off The Grid explores a lesser-known yet highly effective method for streamlining formula entry in Excel: using AutoCorrect to create short codes for commonly used formula segments. This ...

If you build apps on a cloud database, you know the friction. To develop and test locally, you either point your app at a shared cloud instance, with slow round trips, noisy neighbors, and ...

Beginning his professional journey in the tech industry in 2018, Yash spent over three years as a Software Engineer. After that, he shifted his focus to empowering readers through informative and ...

Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, ...

Placing SQL MCP Server between your AI agent and your SQL database lets your agent interact with data through a controlled API surface instead of direct database access. Built on Data API builder (DAB ...