Introducing the Developer Knowledge API and MCP Server- Google Developers Blog
As the ecosystem of AI-powered developer tools—from agentic platforms like Antigravity to command-line interfaces like Gemini CLI—continues to expand, a critical challenge has emerged: how do we ensure these models have access to the most accurate, up-to-date documentation? Large Language Models (LLMs) are only as good as the context they are given. When building with Google technology, developers
COSMO: A large-scale e-commerce common sense knowledge generation and serving system at Amazon
Applications of large-scale knowledge graphs in the e-commerce platforms can improve shopping experience for their customers. While existing e-commerce knowledge graphs (KGs) integrate a large volume of concepts or product attributes, they fail to discover user intentions, leaving the gap with how people think, behave, and interact with surrounding world. In this work, we present COSMO, a scalable
Building Self-Evolving Knowledge Graphs Using Agentic Systems
Authors: Brij Mohan Singh & Ritwika Chowdhury Data leaders today are walking a tightrope. On one hand, there is pressure to modernise, innovate, and keep up with what’s next. Consider how technology is moving faster than we ever anticipated. The way of working just back in early 2024 is vastly different from how we do things now: from code & business to day-to-day browsing. And the transition will
AIとナレッジグラフと私 | ドクセル
スライド概要 Helpfeel Tech Conf 2025 での発表資料です。 イベント詳細: https://techconf2025.helpfeel.com/ 発表概要: 意図予測検索3は、ナレッジグラフを用いた事実抽出と引用ベースの要約の事前生成により、安定した回答を提供します。Helpfeelの独自技術である文書拡張を発展させ、AIエージェント時代を見据えたRAGを実現しました。知識探索に向き合い続ける中で見えてきた課題と解決策を、データの構造化、ベクトル検索、UI設計の視点で深掘りし、その応用可能性についても考察します。 13ページのデモ動画: https://gyazo.com/20f56ddca40d5c08282105f947b0f781 15ページのデモ動画: https://gyazo.com/55f1af5168271533090a5de2ef315505 （付録
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.mdc駆動ナレッジマネジメント/.mdc-driven knowledge management
