Bridge the gap and unlock hidden potential within your unstructured data

Dublin, Jan. 31, 2025 (GLOBE NEWSWIRE) -- The

New features include community summaries, local and global retrievers, running retrievers in parallel, and custom prompt instructions.

When (not) to use GraphRAG

Imagine you’re solving a complex puzzle with scattered pieces of information.

Speaker: Gábor Szárnyas (LDBC)Event: Data Analytics developer room at FOSDEM 2025Talk page: https://fosdem.org/2025/schedule/track/analytics/Slides: https://...

Spanner Graph, now GA, includes a notebook experience, query feature and performance improvements and integrations with first- and third-party tools.

We're very happy to announce our latest release of Kùzu, version 0.8.0, is now available and ready to use! This release brings an exciting new feature that…

Explore its functionality and how it leverages the power of LLMs and Neo4j graph databases to improve data analysis and knowledge discovery.

Knowledge graphs are rapidly gaining traction as a way to store and query complex, interlinked data. Two major approaches dominate this…

Enabling an LLM to chat directly with structured graph data

Today, I conducted a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them…

David Hughes presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025.

G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more! For the first time ever, G.V() can be used on non Apache TinkerPop graph databases. It is now compatible with Neo4j, Neo4j AuraDB, Memgraph and Amazon Neptune Analytics using the Cypher querying language.

Keith W. Hare, Convenor, ISO/IEC JTC1 SC32 WG3 Database Languages The GQL standard (ISO/IEC 39075:2024 Information technology — Database languages — GQL) was published in April, 2024.

Discover Neo4j's 2024 product innovations in cloud-native graph technology, enhancing performance, scalability, AI innovation, and developer productivity.

As technology advances, large language models (LLMs) and information retrieval/management methods evolve at breakneck speed. Knowledge…

A RAG System Built for Both Semantic Search and Structured Data Queries

Create Cypher queries with an easy-to-use drag-and-drop interface

Stop struggling with Cypher syntax Turn graph queries into drag-and-drop Moving from SQL to Cypher presents a common challenge. You understand how data… | 54 comments on LinkedIn

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English Language in the mid-1970s. It's survived and thrived through the dot-com era and the proliferation of cloud technology. In essence, SQL is a technology that evolves.

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, ...

Knowledge Graph community is divided into RDF adopters and Property Graph folks. It is the ultimate question for everybody who starts a…

Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga

We are proud to be named a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems.

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.

Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga

The world of graph technology is vast and evolving. We're here to help you make sense of the key trends and players.

A deep dive into LangChain’s implementation of graph construction with LLMs