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W3C Semantic Technology Standards | LinkedIn
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.
#KnowledgeGraph#GraphDB
·linkedin.com·
W3C Semantic Technology Standards | LinkedIn
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
A curated list of resources for graph-related topics, including graph databases, analytics and science - graphgeeks-lab/awesome-graph-universe
Awesome Graph Universe 🌐 Welcome to Awesome Graph Universe, a curated list of resources, tools, libraries, and applications for working with graphs and networks. This repository covers everything from Graph Databases and Knowledge Graphs to Graph Analytics, Graph Computing, and beyond. Graphs and networks are essential in fields like data science, knowledge representation, machine learning, and computational biology. Our goal is to provide a comprehensive resource that helps researchers, developers, and enthusiasts explore and utilize graph-based technologies. Feel free to contribute by submitting pull requests! 🚀
#KnowledgeGraph#GraphAnalytics#GraphDB#GraphAI#open source
·github.com·
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
The Fastest Graph Database in the World?
The Fastest Graph Database in the World?
We have some pretty exciting news! We have filed an international patent on our new graph database query algorithm. We have also done some further benchmarking tests, and the results are pretty astounding.
#GraphDB
·datalanguage.com·
The Fastest Graph Database in the World?
Vendors offering intelligent document processing, graph technologies (knowledge graphs and graph databases) for GraphRAG and LLM fine tuning, enterprise retrieval, and services surrounding these technologies, will be best positioned for this new wave of data and metadata management needs
Vendors offering intelligent document processing, graph technologies (knowledge graphs and graph databases) for GraphRAG and LLM fine tuning, enterprise retrieval, and services surrounding these technologies, will be best positioned for this new wave of data and metadata management needs
💡 The relevance, trustworthiness and quality of AI and #GenAI applications is increasingly dependent on the quality of enterprise private data and documents…
Vendors offering hashtag#intelligentdocumentprocessing, hashtag#graphtechnologies (hashtag#knowledgegraphs and hashtag#graphdatabases) for hashtag#GraphRAG and hashtag#LLMfinetuning, hashtag#enterpriseretrieval, and services surrounding these technologies, will be best positioned for this new wave of data and metadata management needs
#KnowledgeGraph#GraphDB#business
·linkedin.com·
Vendors offering intelligent document processing, graph technologies (knowledge graphs and graph databases) for GraphRAG and LLM fine tuning, enterprise retrieval, and services surrounding these technologies, will be best positioned for this new wave of data and metadata management needs
Graph patterns ➤ Projecting subgraphs | LinkedIn
Graph patterns ➤ Projecting subgraphs | LinkedIn
LDBC TUC: a focus on graph data in China Shanghai -- We’ve recently come out of two long, interesting days at LDBC’s 18th Technical Users Committee meeting in Guangzhou, in southern China. This post largely concentrates on one point that came up twice at the meeting: how to define subgraphs to be ex
#GraphDB#technical
·linkedin.com·
Graph patterns ➤ Projecting subgraphs | LinkedIn
Build and deploy knowledge graphs faster with RDF and openCypher | Amazon Web Services
Build and deploy knowledge graphs faster with RDF and openCypher | Amazon Web Services
Amazon Neptune Analytics now supports openCypher queries over RDF graphs. When you build an application that uses a graph database such as Amazon Neptune, you’re typically faced with a technology choice at the start: There are two different types of graphs, Resource Description Framework (RDF) graphs and labeled property graphs (LPGs), and your choice of […]
#KnowledgeGraph#GraphDB
·aws.amazon.com·
Build and deploy knowledge graphs faster with RDF and openCypher | Amazon Web Services
Triple your knowledge graph speed with RDF linked data and openCypher using Amazon Neptune Analytics | Amazon Web Services
Triple your knowledge graph speed with RDF linked data and openCypher using Amazon Neptune Analytics | Amazon Web Services
There are numerous publicly available Resource Description Framework (RDF) datasets that cover a wide range of fields, including geography, life sciences, cultural heritage, and government data. Many of these public datasets can be linked together by loading them into an RDF-compatible database. In this post, we demonstrate how to build knowledge graphs with RDF linked data and openCypher using Amazon Neptune Analytics.
#GraphDB#technical
·aws.amazon.com·
Triple your knowledge graph speed with RDF linked data and openCypher using Amazon Neptune Analytics | Amazon Web Services
Announcing Spanner Graph | Google Cloud Blog
Announcing Spanner Graph | Google Cloud Blog
With Spanner Graph, you can analyze interconnected data using Google Cloud’s always-on, globally consistent, and virtually unlimited-scale database.
#GraphDB
·cloud.google.com·
Announcing Spanner Graph | Google Cloud Blog
Using knowledge graphs to build GraphRAG applications with Amazon Bedrock and Amazon Neptune | Amazon Web Services
Using knowledge graphs to build GraphRAG applications with Amazon Bedrock and Amazon Neptune | Amazon Web Services
Retrieval Augmented Generation (RAG) is an innovative approach that combines the power of large language models with external knowledge sources, enabling more accurate and informative generation of content. Using knowledge graphs as sources for RAG (GraphRAG) yields numerous advantages. These knowledge bases encapsulate a vast wealth of curated and interconnected information, enabling the generation of responses that are grounded in factual knowledge. In this post, we show you how to build GraphRAG applications using Amazon Bedrock and Amazon Neptune with LlamaIndex framework.
#KnowledgeGraph#LLM#AI#GraphDB
·aws.amazon.com·
Using knowledge graphs to build GraphRAG applications with Amazon Bedrock and Amazon Neptune | Amazon Web Services
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected - SynaLinks/HybridAGI
#research#LLM#AI#KnowledgeGraph#GraphDB
·github.com·
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
(PDF) BIFROST: A Future Graph Database Runtime
(PDF) BIFROST: A Future Graph Database Runtime
PDF | BIFROST is a novel query engine for graph databases that supports high-fidelity data modeling on arbitrary and evolving graph topologies. It... | Find, read and cite all the research you need on ResearchGate
#GraphDB#research
·researchgate.net·
(PDF) BIFROST: A Future Graph Database Runtime