Semantic Spacetime 1: The Shape of Knowledge
Spacetime and information both have the basics of a geometry
Graph technologies landscape
6 years after, where are we?
Interested by your feedback concerning the evolution of the graph technologies landscape and about what the current landscape is.
https://lnkd.in/eEPkExH | 25 comments on LinkedIn
Nicolas Figay
Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics | Amazon Web Services
Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. In this post, we discuss the benefits of GraphRAG and how to get started with it in Amazon Bedrock Knowledge Bases.
Why GraphRAG Feels Hard (and What I Learned Trying to Make It Work)
Integrating Neo4j, DuckDB, and Kestra for Metadata-Driven Graph Design
Fast, scalable graph querying and visualization with Kuzu and G.V()
In this post, we’ll dive into Kuzu’s core query capabilities and demonstrate how it pairs nicely with G.V()’s rich visualization tools.
Fast, scalable graph querying and visualization with Kuzu and G.V()
Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World
An open-source Python framework for real-time, graph-based knowledge in Neo4j
Google Cloud & Neo4j: Teaming Up at the Intersection of Knowledge Graphs, Agents, MCP, and Natural Language Interfaces - Graph Database & Analytics
We’re thrilled to announce new Text2Cypher models and Google’s MCP Toolbox for Databases from the collaboration between Google Cloud and Neo4j.
Everything a Developer Needs to Know About the Model Context Protocol (MCP) - Graph Database & Analytics
The Model Context Protocol gives users a wide range of services they can connect to from the comfort of their AI client.
Using Spanner Graph with LangChain for GraphRAG | Google Cloud Blog
Learn how to use Spanner Graph with LangChain workflows to build advanced, relationship-aware RAG systems, a.k.a. GraphRAG.
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications - Enterprise Knowledge
Learn about different types of graphs and their applications in data management and AI, as well as common misconceptions, in this article by Lulit Tesfaye.
Talk To Your Graph 2.0 - A Partner’s View
Read about how our partners from Semantic Partners explore the latest iteration of the GraphDB's Talk To Your Graph feature
From Ontology to Domain Objects: Bridging Knowledge Graphs and AI driven Application Development
When implementing graph databases in modern software development, we often face a significant challenge: bridging the conceptual gap between ontology-focused knowledge representation and…
Build your hybrid-Graph for RAG & GraphRAG applications using the power of NLP | LinkedIn
Build a graph for RAG application for a price of a chocolate bar! What is GraphRAG for you? What is GraphRAG? What does GraphRAG mean from your perspective? What if you could have a standard RAG and a GraphRAG as a combi-package, with just a query switch? The fact is, there is no concrete, universal
The actual differences between Ontologies and Graph databases for appropriate usage | LinkedIn
Can work on ontologies with Neo4j, including those based on OWL (Web Ontology Language). However, Neo4j alone is not an ontology reasoner.
Introduction to the Neo4j LLM Knowledge Graph Builder
Bridge the gap and unlock hidden potential within your unstructured data
Knowledge Graph Research Report 2025: Global Market to Reach $6.93 Billion by 2030 from $1.06 Billion in 2024, Growing at a CAGR of 36.6% - Changing for Organizations Deal with Large Datasets
Dublin, Jan. 31, 2025 (GLOBE NEWSWIRE) -- The
LLM Knowledge Graph Builder — First Release of 2025
New features include community summaries, local and global retrievers, running retrievers in parallel, and custom prompt instructions.
Should you be using GraphRAG?
When (not) to use GraphRAG
Introduction to the Neo4j LLM Knowledge Graph Builder
Explore its functionality and how it leverages the power of LLMs and Neo4j graph databases to improve data analysis and knowledge discovery.
Graphs to Graph Neural Networks: From Fundamentals to Applications — Part 2c: RDF vs.
Knowledge graphs are rapidly gaining traction as a way to store and query complex, interlinked data. Two major approaches dominate this…
Chatting with your knowledge graph
Enabling an LLM to chat directly with structured graph data
Multimodal Graph RAG (mmGraphRAG): Incorporating Vision in Search and Analytics - Enterprise Knowledge
David Hughes presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025.
GraphRAG interview — Alonso
As technology advances, large language models (LLMs) and information retrieval/management methods evolve at breakneck speed. Knowledge…
LangGraph AI Agents with Neo4j Knowledge Graph
A RAG System Built for Both Semantic Search and Structured Data Queries
PG-Schema: Schemas for Property Graphs | Proceedings of the ACM on Management of Data
Property graphs have reached a high level of maturity, witnessed by multiple robust
graph database systems as well as the ongoing ISO standardization effort aiming at
creating a new standard Graph Query Language (GQL). Yet, despite documented demand,
...
Unified Knowledge Graph Model — RDF, RDF* vs LPG — The end of war
Knowledge Graph community is divided into RDF adopters and Property Graph folks. It is the ultimate question for everybody who starts a…
Introducing the Neo4j Text2Cypher (2024) Dataset
Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga
W3C Semantic Technology Standards | LinkedIn
For newcomers into the world of semantic technology and knowledge graphs, the diagram above illustrates some of the key languages that you may want to look into. RDF RDF defines the very lowest level building blocks of how graphs can be represented.
Building Knowledge Graphs with LLM Graph Transformer
A deep dive into LangChain’s implementation of graph construction with LLMs
Turn Your CSVs Into Graphs Using LLMs
Learn how to turn CSV files into graph models using LLMs, simplifying data relationships, enhancing insights, and optimizing workflows.