Ultipa Graph approaches version 5.0 - Bloor Research
Ultipa Graph, one of the newer entrants to the graph database space, is approaching its 5.0 version update.
Why I Chose FalkorDB Knowledge Graph Over Neo4j for Building a RAG Application
A comparison of FalkorDB with other Knowledge Graphs for developing AI applications with.
GQL highlights
Exciting times for query languages as SC 32 publishes 39075 on GQL, read the highlights article here.
The new ISO GQL standard is now available
After many years of diligent work and thousands of person-hours of detailed reviews, the new ISO GQL standard is now available! This is… | 15 comments on LinkedIn
A stack ranking of REVENUE in the DBMS market
The spaghetti has been cooking, and while there's still some work to do, I'm pleased to be able to share the 2024 DBMS Spaghetti chart (covering data from… | 29 comments on LinkedIn
a stack ranking of REVENUE in the DBMS market
The Rise of Graph Jobs, The Disappearance of Graph Technology?
The Rise of Graph Jobs, The Disappearance of Graph Technology? Join me for this fun presentation at KGC on May 8, 2024, in NYC, where I delve into a "State of…
A few thoughts on RDF-star, Reification, and Labeled Property Graphs
The W3C RDF-star WG is currently debating a design issue which may greatly affect our chances of having a better alignment between RDF graphs and Labeled… | 13 comments on LinkedIn
LLMs, Knowledge Graphs and Property Graphs
In response to my last blog, LLMs and Knowledge — the study continues, I got a lot of questions LinkedIn, which I decided to answer in…
Barcelona’s Graph Tech Revolution!
500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.
Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
Reflects company’s strong business momentum and rising AI demand for vector and graph databases
Why Graphs? Graph databases are the most powerful tools for managing data because of their structure and flexibility. Here are 6 reasons why
Why Graphs? Graph databases are the most powerful tools for managing data because of their structure and flexibility. Here are 6 reasons why: 1. They are…
Why Graphs? Graph databases are the most powerful tools for managing data because of their structure and flexibility. Here are 6 reasons why
TigerGraph CoPilot's public alpha release
🚀 Exciting News Alert! 🚀 We're over the moon to announce the launch of TigerGraph CoPilot's public alpha release! 🌟 🔗 Get ready to explore the future of…
Introduction to Graph query language Cypher
How We Export Billion-Scale Graphs on Transactional Graph Databases
By leveraging Apache Spark, eBay Graph Database can export a graph with billions of vertices and edges.
How advanced digital technologies are making London roads work better
Transport for London implements advanced digital technologies to manage congestion and improve efficiency on London's roads.
Neo4j is planning IPO on Nasdaq, largest owner Greenbridge says- Bloomberg News
-- Source link: http://tinyurl.com/y8b8az2h-- Note: Reuters has not verified this story and does not vouch for its accuracy
Natural Language Querying of GraphDB in LangChain
The NLQ integration for Ontotext GraphDB in LangChain: a framework designed to simplify the creation of applications using LLMs
Sorry Telcos, graph databases are no way to run a business
Semantic Web and Labeled Property Graphs have their use-cases, but complex, real-time business operations is not one of them
GenAI Ecosystem - Neo4j Labs
Knowledge Graph Construction with Ontologies in Neo4j— Part 2
Continuing our exploration of Knowledge Graphs and Ontologies, this next part delves into hands-on implementation. Let’s transform flat CSV…
Try Neo4j’s Next-Gen Graph-Native Store Format
At Neo4j, we developed a new graph format that is more IO and CPU efficient and handles low memory situations better.
Implementing Advanced Retrieval RAG Strategies With Neo4j
Go beyond typical RAG strategies
Rdflib-Neo4j: A New Era in RDF Integration for Neo4j
Rdflib-neo4j introduces a client-side evolution of neosemantics, empowering data ingestion in all cloud and local Neo4j deployments
Knowledge Graphs: use the right tool for the right job
This is the first of a series of blogs wherein I describe what we believe is a superior pattern for creating highly performant, real-world…
Why Vectors Should Be Stored Together with Knowledge Graph?
An architecture review of Neo4j as both vector and graph store
With Neptune Analytics, AWS combines the power of vector search and graph data | TechCrunch
AWS announced a new capability today called Neptune Analytics that uses vector search to understand the relationships in a graph database.
Neo4j’s Vector Search: Unlocking Deeper Insights for AI-Powered Applications - Graph Database & Analytics
Neo4j vector search provides a simple approach for quickly finding contextually related information and uncovering hidden relationships.
Launching Fluree Version 3: The Next Generation JSON-LD Database
Fluree launches JSON-LD database with features for data collaboration: secure data policies, immutable linked data, & semantic vocabularies.
AWS and Neo4j Join Forces to Solve LLM Hallucinations and Evolve GenAI - Graph Database & Analytics
We're excited to announce the partnership between Neo4j and AWS to speed up enterprise AI development and resolve key LLM challenges.
aws-dbs-refarch-graph/src/graph-data-modelling at master · aws-samples/aws-dbs-refarch-graph
Reference Architectures for Graph Databases on AWS - aws-samples/aws-dbs-refarch-graph