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Google Cloud & Neo4j: Teaming Up at the Intersection of Knowledge Graphs, Agents, MCP, and Natural Language Interfaces - Graph Database & Analytics
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.
#GraphDB#AI#KnowledgeGraph#LLM#GenAI#technical
·neo4j.com·
Google Cloud & Neo4j: Teaming Up at the Intersection of Knowledge Graphs, Agents, MCP, and Natural Language Interfaces - Graph Database & Analytics
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications - Enterprise Knowledge
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.
#KnowledgeGraph#GraphAnalytics#GraphDB#technical
·enterprise-knowledge.com·
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications - Enterprise Knowledge
Build your hybrid-Graph for RAG & GraphRAG applications using the power of NLP | LinkedIn
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
#GraphDB#KnowledgeGraph#technical#LLM#AI#GenAI
·linkedin.com·
Build your hybrid-Graph for RAG & GraphRAG applications using the power of NLP | LinkedIn
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
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
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