GraphNews

From SQL to GQL, the new graph query language standard and a pivotal development for advancing data analytics in the era of GenAI and beyond.

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

Learn how to build a technical support chatbot with deeper, more relevant retrieval.

Explore how using Neo4j Graph Database and Databricks together can deliver groundbreaking analytics and GenAI outcomes.

Describing graphs with GQL schemas

End to end solution for migrating CSV data into a Neo4j graph using an LLM for the data discovery and graph data modeling stages. - a-s-g93/neo4j-runway

A foray into how variables are defined and used.

This notebook converts CSV data into a Neo4j Graph Database. All you do is describe your data. Have you wanted to see what your data looked like as a graph…

After 6 years of using GraphQL in production we aren't reaching for it as much as we once did. First up, security. GraphQL's self-documenting query API… | 161 comments on LinkedIn

This week, I thoroughly enjoyed attending the 21st Extended #SemanticWeb Conference! Here’s a summary of the contributions presented at the conference about…

How SP used Ontotext GraphDB’s vector capabilities to build a simple RAG retriever over a Knowledge Graph, using open, offline LLM models

How we used Ontotext GraphDB’s vector capabilities to build a simple RAG retriever over a Knowledge Graph, using open, offline LLM models

At Semantic Partners, we wanted to build our informed opinion over the strengths and weaknesses of graph RAG for RDF triple stores. We considered a simple use case: matching a job opening with Curriculum Vitae. We show how we used Ontotext GraphDB to build a simple graph RAG retriever using open, offline LLM models – the graph acting like a domain expert for improving search accuracy.

A short introduction what a GQL query looks like relative to Cypher

Neo4j Graph Data Science (GDS) now fully integrates with the Snowflake AI Data Cloud for advanced AI insights and predictive analytics.

PDF | The Digital Thread is a system that connects different phases of the product lifecycle and the related data across one or more companies in the... | Find, read and cite all the research you need on ResearchGate

We're thrilled to celebrate a significant milestone in the world of database technology: the publication of the first version of the ISO GQL standard.

openCypher will help graph databases transition from Cypher to GQL, the new ISO standard graph query language.

Combining RDFLib and SHACL to validate RDF data in Kùzu

By Alastair Green, Vice-chair LDBC, and author of the GQL Manifesto. 9 May 2024.

Another once specialized database technology from the previous big data era might find its way into AI products thanks to retrieval augmented generation.

The International Standards Organization’s publication of a standard for the Graph Query Language earlier this month generated relatively little media interest, but executives at graph database make

Lots of gratifying announcements about the GQL standard: Neo4j, TigerGraph, JTC 1, AWS/Neo4j, Memgraph, Stefan the editor, The Register ..

When to use graph data models, such as parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs.

Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j Editor's Note: the following is a guest blog post from Tomaz Bratanic, who focuses on Graph ML and GenAI research at Neo4j. Neo4j is a graph database and analytics company which helps organizations find hidden relationships and patterns

Read the joint letter from Neo4j and AWS to graph customers, the graph curious, and the Cypher community on the new GQL standard.

Explore Altair's latest news releases for cutting-edge innovations, collaborations, and industry insights driving technological advancements and progress.

Standards body adoption could help ease portability between vendors