Latest updates for Knowledge Graph

Fresh curated links around Knowledge Graph are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Knowledge Graph SEO: 6 Ways to Strengthen Entities
  • Scaling unstructured enterprise knowledge with BigQuery Graph, and Kineviz GraphXR
  • Introducing the Google Cloud Knowledge Catalog

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Fresh articles and ideas

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respona.com /1 month ago

Knowledge Graph SEO: 6 Ways to Strengthen Entities

Google doesn’t rank pages anymore. It ranks understanding. Behind every search result is the knowledge graph, a system that maps entities, relationships, and meaning across the web...

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cloud.google.com /1 month ago

Scaling unstructured enterprise knowledge with BigQuery Graph, and Kineviz GraphXR

Over 80% of enterprise data lives in unstructured form — PDFs, emails, reports, regulatory filings. Most of the time, such sources contain critical business information, yet they r...

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cloud.google.com /1 month ago

Introducing the Google Cloud Knowledge Catalog

Traditional data catalogs were built as manual inventories for technical users, focusing on table structures rather than the deep context that AI agents need. When agents lack busi...

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dev.to /1 week ago

GraphRAG vs vector RAG: when the knowledge graph pays for itself

Ask your vector RAG pipeline "what are the main themes in this corpus?" and watch it return three random chunks that share a keyword. Flat vector retrieval is built for "find me th...

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kmworld.com /3 weeks ago

Franz AllegroGraph 9.0 delivers GraphTalker, the AI Agent for enterprise knowledge graphs

GraphTalker advances Neuro-Symbolic AI with an agentic natural-language interface

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venturebeat.com /1 week ago

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, em...

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habr.com /1 month ago

LLM — поиск товаров

LLM-поиск товаров: R&D применения технологий RAG и Knowledge Graph Search для продвинутого поиска товаров по сложным текстовым запросам. Как LLM и Knowledge Graph ищут товары

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towardsdatascience.com /1 week ago

Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs

A scalable semantic localization layer for entity and relationship reconciliation The post Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs appe...

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habr.com /1 week ago

Графы знаний в юридическом домене: эксперимент с LightRAG

Юридический домен требует понимания многочисленных связей между сущностями, рассеянными по множеству документов. Поэтому кажется, что область знаний, организованная таким образом,...

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marktechpost.com /1 week ago

How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizati...

In this tutorial, we will generate knowledge graphs from plain text, conversations, and multiple source documents using kg-gen. We start by setting up the required dependencies and...

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365community.online /22 hours ago

Microsoft Cowork IQ Implementation: Architecting Scalable Knowledge Graphs for Modern Hybrid Workforces

Most organizations believe they have an AI problem when the real issue is their knowledge architecture. Microsoft Copilot deployments are exposing a deeper enterprise challenge: or...

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cloud.google.com /1 month ago

Introducing BigQuery Graph: Unlock hidden relationships in your data

Today, we're thrilled to announce that BigQuery Graph is now available in preview. With BigQuery Graph, we’ve built an easy-to-use, highly scalable graph analytics solution for dat...

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previousnext.com.au /1 week ago

PreviousNext: Keywords to Context: Semantic Search and Retrieval-Augmented Generation with OpenSearch

Keyword search struggles with natural language and exploratory questions. Daniel walked the DrupalSouth 2026 audience through how OpenSearch and Skpr enable semantic search that un...

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habr.com /1 week ago

SciGraph: как я учил ИИ читать научные статьи не только по словам, но и по связям

SciGraph показывает, почему GraphRAG для научных статей — это не только про графы и LLM, но и про честные метрики. В статье — разбор системы, которая связывает PDF, авторов, методы...

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dev.to /2 weeks ago

Why Gold Answers Are Becoming Less Important in GraphRAG Systems

Traditional RAG evaluation relies on human-annotated "standard answers," but in the GraphRAG era, this approach is losing its relevance. What Is a Gold Answer? A Gold...

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dzone.com /1 month ago

Engineering for the Answer Engine: GEO for RAG-Friendly Web Apps (TalentHacked.com Case Study)

LLMs are becoming a discovery layer. Users ask a question, the model synthesizes an answer, and then it may cite a few sources. That shifts the goal from “rank and win a click” to...

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dev.to /1 week ago

Understand Anything: Turn Any Codebase Into an Interactive Knowledge Graph

You join a new team. The codebase has 200,000 lines of code, no docs worth reading, and the one engineer who knew everything just left. Where do you start? That exact problem is w...

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venturebeat.com /1 month ago

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independen...

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towardsdatascience.com /3 weeks ago

How to Build an Efficient Knowledge Base for AI Models

Building a knowledge base for AI models isn’t a one-time task but an iterative process of refinement. The post How to Build an Efficient Knowledge Base for AI Models appeare...

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forrester.com /1 month ago

Context Graphs Are A Convergence, Not An Invention

We’ve Been Building The Foundation For 40 Years A year ago, I wrote about the graphic future of IT management — IT management platforms converging on graph architectures to create...

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jrockowitz.com /1 month ago

Jacob Rockowitz: Drupal (AI) Playground: Using the AI Schema.org JSON-LD module to "feed the machines"

PreambleI've been discussing and committed to a Schema.org-first approach to building content models in Drupal for several years. Along the way, someone described Schema.org as "fo...

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marktechpost.com /1 month ago

How to Build a Fully Searchable AI Knowledge Base with OpenKB, OpenRouter, and Llama

In this tutorial, we explore how to build and query a local knowledge base with OpenKB using a free, open model via OpenRouter. We securely retrieve the API key with getpass, set u...

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venturebeat.com /3 weeks ago

The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymo...

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finextra.com /3 weeks ago

Context Graphs: AI's Trillion Dollar Opportunity Solved Years Back in CapMarkets (Steve Wilcockson)

Jaya Gupta and Ashu Garg of Foundation Capital on December 23rd, 2025, introduced the term "con...

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365community.online

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cloudblog.withgoogle.com

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dev.to

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