Knowledge Graph

15 items

ARTICLE↑ trendingReddit r/MachineLearning·27d ago

Sharing all KGC 2026 decks. More production-grade KG systems than I've seen at any conference. [D]

The Knowledge Graph Conference (KGC 2026) showcased a significant number of live production-grade Knowledge Graph systems from various enterprises, a departure from typical AI events often presenting only proofs of concept. Examples included Bloomberg's ontology governance, AbbVie's drug intelligence KG with an LLM interface, and Morgan Stanley's continuous SHACL drift detection for risk reporting.

AI applications LLMs Knowledge Graph Data Governance

CASEDEV.to AI·3d ago

We Built an AI That Remembers Everything Your Team Forgets

An AI system called ECHO was developed to transform Slack chaos into a living Knowledge Graph, addressing team forgetfulness. It uses LLMs for entity extraction, builds relationships into a graph, and applies temporal decay to maintain the relevance of team expertise.

LLMs Knowledge Graph team collaboration knowledge management

DOCDEV.to AI·7d ago

🧠 AI Knowledge Layer Architecture: Where AI Advises, Humans Decide

This document outlines a governance-first AI architecture built around a Company Knowledge Graph (CKG), where AI acts in an advisory-only capacity. The system uses SYGON for checks and incorporates three critical gates to ensure integrity before CKG commit, before AI calls, and after AI output.

AI architecture Safety Knowledge Graph governance

RESEARCHarXiv CS.CL·8d ago

Knowledge Graph-Enhanced Zero-Shot Topic Classification: A Multi-Strategy Comparative Study

This paper presents a zero-shot multi-label topic classification framework, systematically investigating how per-article knowledge graph augmentation affects its performance. The authors test eight methods across fifteen LLMs and eight multi-label datasets, finding that keyword-enhanced classification is the best performing method in the base framework.

Multi-label Classification LLMs Knowledge Graph Zero-Shot Topic Classification

ARTICLEDEV.to AI·4/19/2026

I built a code intelligence engine because nothing else worked for my cross-repo setup

The author developed Gortex, a code intelligence engine, to address frustrations with token-heavy AI coding assistants in complex, multi-repository projects. It solves constant context management issues by building a knowledge graph from code.

AI coding assistant Knowledge Graph developer tools Code Analysis

ARTICLEDEV.to AI·4/13/2026

我是在深圳做sem竞价的，结合当下AI发展趋势，向我提一个好问题

This content challenges SEM professionals to rethink strategies as AI evolves from keyword matching to intent-driven semantic chains, powering decisions through knowledge graphs. The core question is how to transform product information into a "core knowledge node" within AI's decision path, moving beyond traditional bidding and ad clicks.

Knowledge Graph digital-marketing AI Generative AI

ARTICLEDEV.to AI·13d ago

Why I Built the "Infrastructure Layer" Under Every AI Coding Agents

AI coding agents lack persistent understanding of systems, leading to repeated efforts and loss of context. To address this, the author built ASIL, an Engineering Intelligence Infrastructure that acts as a persistent, temporal, causal knowledge graph, connecting various software system components for AI agent access.

software development Knowledge Graph infrastructure AI agents

ARTICLEDEV.to AI·4/12/2026

Beyond the Vector Wall: The Case for Microsecond Graph-RAG

The author identifies 'Semantic Clobbering' as a limitation in pure vector search-based RAG, which corrupts retrieval logic. They propose Graph-RAG as a paradigm shift, utilizing knowledge graphs for structured information retrieval and enabling multi-hop reasoning.

Semantic Clobbering Graph RAG Knowledge Graph RAG

ARTICLEDEV.to AI·4/12/2026

🧠 Stop Letting Your AI Forget: MemPalace is a Wake-Up Call

MemPalace is an innovative approach to AI system memory, treating it as a central primitive. It uses a hierarchical 'memory palace' structure to store and retrieve raw data precisely and context-sensitively, making it ideal for debugging and production use.

Knowledge Graph MemPalace Hierarchical data Local AI

RESEARCHarXiv CS.AI·15d ago

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research

SciAtlas is a large-scale, multi-disciplinary knowledge graph designed to tackle the information explosion in academic output. Integrating millions of papers and billions of entities, it provides a structured network for automated scientific research and deep interdisciplinary integration.

Knowledge Graph information management research tools AI agents

ARTICLEDEV.to AI·4/25/2026

I built an open-source cognitive memory layer for AI agents in Go — because amnesia shouldn't be a feature

The author built "Stash," an open-source cognitive memory layer for AI agents, to address the "amnesia" of LLMs. This tool enables agents to capture experiences, form knowledge graphs, and learn continuously, filling the gap left by the static nature of the models.

Open Source LLMs Knowledge Graph memory

ARTICLEDEV.to AI·16d ago

One Open Source Project a Day (No. 75): Understand Anything - The AI Engine That Turns Any Codebase Into an Explorable Knowledge Graph

Understand Anything is an open-source AI engine that transforms any codebase into an explorable knowledge graph, making it easier to comprehend complex code and onboard new team members. It employs a hybrid Tree-sitter + LLM architecture and specialized agents to create an interactive representation of the code.

Open Source Knowledge Graph learning code comprehension

ARTICLEDEV.to AI·4/13/2026

Using Graphify to turn Incident Data into a Knowledge Graph

This article explores using the Graphify tool to transform incident data into a semantic knowledge graph. The aim is to connect dispersed information across incident management tools, such as logs, alerts, and responses, to provide more useful and contextual insights during problem resolution.

Knowledge Graph incident management Data transformation AI

DOCDEV.to AI·4/24/2026

🤖 AI Dev Tools

This content compares four AI development tools: graphify, claude-context, axon, and Lynkr. It outlines their plain English purpose, core jobs, types, and input methods, aiding developers in understanding their specific applications.

Knowledge Graph semantic search developer tools Code Analysis

RESEARCHarXiv CS.AI·4/6/2026

OntoKG: Ontology-Oriented Knowledge Graph Construction with Intrinsic-Relational Routing

O título sugere 'OntoKG', um método para construção de grafos de conhecimento orientado a ontologias com roteamento intrínseco-relacional. Contudo, a ausência de conteúdo impede qualquer análise aprofundada do material.

ontology Knowledge Graphs Knowledge Graph Graph Neural Networks