Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
This week’s edition has something for all senses: we take a look at how to work with RDF data and learn how to import GTFS data into Neo4j (📖 read), the benefits of combining a knowledge graph with an LLM (👀 watch) and gain graph-based insights with Hume (👂 listen).
I hope you enjoy this issue,
Alexander Erdl
COMING UP NEXT WEEK!
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- NODES 2023: Watch Recordings
- Meetup: Meet us in Melbourne, AUS on December 12, in Dresden, DE on December 13 & in Innsbruck, AT on December 14
- Conferences: Find us at Evanta CDAO Executive Summit in Chicago, USA on December 13
- Connections: Generative AI and Knowledge Graphs – Unveiling the Future of Knowledge Retrieval for EMEA/AMER on December 13 & APAC on December 14
- All Neo4j Events: Webinar, Live demos, and More
FEATURED NODES SPEAKER: Jonas Nolde
Jonas Nolde is a Machine Learning Engineer at berrybeat. He has experience in Computer Vision, Graph Machine Learning, and Natural Language Processing. His paper “Comparing a deterministic and a Bayesian classification neural network for chest diseases in radiological images” was published at the UR-AI 2021 Symposium.
Connect with him on Twitter.
In his session at NODES “Fine-Tuning an Open-Source LLM for Text-to-Cypher Translation” Jonas demonstrates how to fine-tune a large language model to generate Cypher statements from natural language input, allowing users to interact with Neo4j databases intuitively and without knowledge of Cypher.
GRAPHACADEMY: Neo4j & LLMs – New Courses now available
Leverage Knowledge Graphs and Generative AI by integrating Neo4j with Large Language Models (LLMs) to create intelligent applications. Explore the synergy between knowledge graphs and advanced language models for optimised application development: “Neo4j & LLM Fundamentals” and “Build a Neo4j-backed Chatbot using Python” are now available for you to enrol for free!RDF: Rdflib-Neo4j: A New Era in RDF Integration for Neo4j
Neosemantics has been the go-to solution for importing/exporting rdf data into/from Neo4j, model mapping, and graph validation based on SHACL validation and inferencing. Unfortunately, it is not available on cloud-based Neo4j deployments. In this article, Aleksandar Simeunovic introduces rdflib-neo4j, an open-source Python library that transcends this boundary.RAG: Advanced RAG with Knowledge Graphs
In this video, Johannes Jolkkonen demonstrates how to use Large Language Models (LLMs) together with graph databases like Neo4j. After a quick intro, he goes hands-on, creates a graph from unstructured data, and then chats with his knowledge graph.GIS: Setting up a graph db using GTFS data & Neo4j
In this post, Anita Graser aka Underdark, uses public data for Riga to analyse public transport schedules in GTFS format. She goes step-by-step on how to load the data into your graph.INTERVIEW: GraphAware with Luanne Misquitta
Software Engineering Daily Podcast interviewed Luanne Misquitta, VP of Engineering at GraphAware, about graph databases and the graph-based analysis solution Hume, which makes it possible to represent data as a network of interconnected entities and provides analysis capabilities to extract insights from the data.TWEET OF THE WEEK: Tony Green
Drawing #metatronscube has me thinking about graph databases. What if I built #neo4j node clusters in the shape of #sacredgeometry? pic.twitter.com/J1ozxQs2lE
— Tony Green (@tony0green) November 28, 2023
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