Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

Data could live in that fridge and get pulled when needed. Applications and humans didn't need millisecond or even live data ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Tiger Data today introduced a managed PostgreSQL database service designed specifically for AI agents, saying conventional database architectures are poorly suited to a future in which software is ...

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, ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

Google (GOOG) (GOOGL) on Tuesday unveiled its multimodal Gemini Embedding 2 artificial intelligence model, the tech giant's newest model that maps text, images, video, audio, and documents into a ...

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...