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GraphRAG Python Package: Accelerating GenAI With Knowledge Graphs
Oct 16 11 mins read
The GraphRAG Python package from Neo4j provides end-to-end workflows that take you from unstructured data to knowledge graph creation, knowledge graph retrieval, and full GraphRAG pipelines in one place. Whether you're using Python to build knowledge assistants, search APIs, chatbots, or report... read more
This Week in Neo4j – Provenance with Neo4j, Data de-duplication, GRANDstack GitHub starter template, Understanding sentiment in space with NASA
Mark Needham Jun 29, 2019 3 mins read
This week Stefan Bieliauskas shows us how to model provenance data in Neo4j, and Lju Lazarevic takes us through some techniques for de-duplicating ingredients in the BBC Good Food Graph. We also have a new GRANDstack starter template and an ObservableHQ notebook showing how to use the... read more
NoSQL Data Modeling: 5-Minute Interview with Pascal Desmarets
Jun 28, 2019 3 mins read
"The use cases for graph databases are far more numerous than people imagined early on," said Pascal Desmarets, founder and CEO of Hackolade. NoSQL databases are schemaless, so data modeling isn’t necessary – at least in theory. In practice, Hackolade saw a niche in the market to provide a... read more
Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]
Jun 27, 2019 < 1 min read
At Neo4j, we believe that graphs are everywhere. For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. In this session, we take a look at graph database technology within manufacturing in general, and more specifically in the... read more
Collaborative Technology Intelligence Platform
Jun 26, 2019 11 mins read
Editor’s Note: This presentation was given by Fan Li at GraphConnect New York in October 2017. Presentation Summary Fan Li is a Principal Data Scientist at DuPont. Dupont began as a science company with a mission to deliver sustainable and innovative solutions to some of the world’s... read more
Toward AI Standards: Why Context Is Critical for Artificial Intelligence
Jun 24, 2019 4 mins read
This post originally appeared on the Emil Eifrem blog on 24 June 2019. Just last month, we had a great opportunity to be part of a larger conversation around AI standards. In particular, we responded to a request for information (RFI) from the United States National Institute of Standards and... read more
This Week in Neo4j – Visualizing BloodHound Data with PowerBI, College Admissions Scandal Visualized, New Release of Structr
Jun 22, 2019 4 mins read
This week Robert Schäfer and Grzegorz Leonie show us how they use Neo4j and GraphQL to build Human Connection, and Andy Robbins visualised Bloodhound data using PowerBI. We also have a detailed tutorial on monitoring Neo4j with Prometheus, a new release of Structr, and the college... read more