背景介绍AI 落地深水区,向量化成了新的“体力活”?在 AI 应用爆发的今天,向量检索早已成为 RAG、语义搜索、推荐系统的标配基础设施。开发者需要将文本转为向量嵌入(embedding),存入向量数据库,再通过相似度检索召回内容。这套流程听起来简单 ...
Bytebase, the database governance platform, today unveiled its new positioning as the standard for database governance. The positioning responds to a growing governance gap as teams and AI agents ...
Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...
Rethink high availability and disaster recovery for cloud-native database migration. Improve resilience, minimize downtime.
From a rushed ShareFile shutdown to poisoned npm packages and AI assistants tricked into installing malware, here's every ...
When it comes to cloud storage, not all storage systems work the same way. Two of the most widely used storage architectures ...
Palantir Technologies Inc. stock is 37.5% off highs despite surging revenue, margins and guidance. Click here for this PLTR ...
Learn the important things to back up before reinstalling your Linux system. SSH/GPG keys, dotfiles, packages, browser data, 2FA and more.
Fix the “Login Pool Is Empty and Connection Creation Failed” error with 5 proven solutions for HikariCP, Spring Boot, MySQL, PostgreSQL, JDBC, and database connection pools.
Make Waves is seeking a senior full stack engineer to join our team in Amsterdam.
本文来自微信公众号: InfoQ ,作者:QCon,原文标题:《从 AI 取数到智能分析:企业级数据 Agent 的多阶段演进与工程化落地》 1背景与挑战:从BI演进到AI原生数据消费 数据消费的发展通常被划分为四个阶段。1.0时代是传统BI时代,以SAP等系统为代表,报表交付 ...