NODES 2024
as the organisers put it
Explore the NODES 2024 agenda, Neo4j's free 24-hour online conference on graph-powered apps, knowledge graphs, and contextual AI with the latest GenAI innovations.
| title | author | length |
|---|---|---|
| Building Knowledge Graphs With LLMs | Tomaz Bratanic | 30m |
Shows a practical workflow for turning PDFs into Neo4j knowledge graphs using LLMs with concrete trade offs: use generic→schema→domain-specific extraction… | ||
| Neo4j Product Vision and Roadmap | Sudhir Hasbe | 30m |
Neo4j positions itself as a cloud‑first, managed graph platform with 22,000+ Aura databases, 99.95% SLA, and plans to scale node RAM from ~0.5 TB toward 1.5–2… | ||
| LLM Query Benchmarks: Cypher vs SQL | Elena Kohlwey, Rinat Abdullin | 30m |
A realistic enterprise schema (Contexture) and 21 benchmark questions across five complexity levels test multiple LLMs (GPT‑4, Gemini, Claude, Mistral… | ||
| Why You Need a Knowledge Graph And How to Build It | Stanford Pugsley | 24m |
Argues that a knowledge graph unifies scattered relational databases into one graph to answer cross-process questions (customer LTV, ad ROI, orders→deliveries)… | ||
| Fireside Q&A | Emil Eifrem, Andreas Kollegger | 32m |
Claims a new simplified import tool that points at relational databases, generates an editable graph model and imports data, with plans to add GenAI to… | ||
| Multi-Agent Query Generation w/ LLMs on Complex Knowledge Graphs | Fabio Montagna | 32m |
A system converts natural-language questions into executable Cypher by combining multi-agent reasoning with schema-based context and node/relationship… | ||
| Next-Gen Travel Agents: Merging AI Agentic and Neo4j for Personalized Experiences | Astrid Paramita Mochtarram | 29m |
A prototype Berlin museum itinerary generator uses LangGraph to orchestrate multiple LLM agents, Next.js for UI, Neo4j for graph storage and Neo4j routing, and… | ||
| How Trustworthy is Your Knowledge Graph? | Ashleigh Faith | 27m |
Shows a concrete pipeline: build a Neo4j-backed Graph RAG using AuraDB/KGBuilder and citation analysis, extract statements, add quads for provenance, then run… | ||
| Creating Awesome Graph Visualization With the Neo4j Visualization Library NVL | Clemens Anzmann | 31m |
NVL is a JavaScript/TypeScript library that renders GPU-accelerated graphs and ships on npm (v0.3.6); the demo connects to Neo4j Aura with the official JS… | ||
| Enhancing RAG with Multi-Agent Integration | Satej Sahu | 20m |
Claims that integrating a knowledge graph (Neo4j AuraDB + Knowledge Graph Builder + Neo4j GenAI) with a two-LLM pipeline and graph-query agent reduces… | ||
| A Graph Entity Resolution Playbook | Nathan Smith | 29m |
Design graph models that break shared identifiers into nodes, standardize and validate properties, and label invalid or placeholder values by running GDS… | ||
| Fireside Q&A | Emil Eifrem, Andreas Kollegger | 32m |
A live Q&A focuses on what actually moves graph + GenAI projects past pilots: presenters cite surveys showing 70–80% stalled in pilot, blame fuzzy use cases… | ||
| From Image to Graph: Leveraging Tesseract OCR Engine for Document Chunking and GraphRAG | Kim Adler | 15m |
Converts PDFs to images and runs Tesseract via pytesseract to extract word bounding boxes and confidences, then aggregates those words into a hierarchy of… | ||
| Speaker Roundtable | Sharmistha Chatterjee, Panos Alexopoulos, Charles Borderie, Estelle Scifo, Bill Reynolds | 56m |
Join us for a live Speaker Panel with select guests from 2024's NODES conference coming in November.
Register to NODES 2024… | ||
| Advanced Graph Visualizations in Jupyter Notebooks | Benjamin Niedermann | 28m |
A Jupyter pipeline uses Neo4j, Graph Data Science and yWorks’ notebook widget to fetch and render live graph snapshots (everything runs locally). Example works… | ||
| The Present and Future of AI-Enabled Knowledge Graph Generation | Brendon Wong | 28m |
Claims that LLMs can turn text into graphs but hit an effective context window of a few thousand tokens (despite Gemini 1.5 Pro advertising 1M), and that… | ||
| TrainSim: A GenAI Restaurant Server Training and Customer Simulation ChatBot | Daniel Marian, Radu Marian | 15m |
Builds an MVP that turns a dinner PDF into chunked embeddings, hypothetical Q&A and a Neo4j knowledge graph using LangChain RAG, OpenAI for question generation… | ||
| Panel Discussion: Trends in Generative AI | Andreas Kollegger, Ashleigh Faith, Jeng Yang Chia, Lauren Sharman | 32m |
Panelists argue the practical shift from chatting with PDFs to agentic AI that autonomously plans and executes workflows, while multi‑agent systems expose… | ||
| Cybersecurity Risk Assessment Using LLM Agents and Graph Data Science | Dattaraj Rao, Venkateshwar Tyagi, Sadashiv Borkar | 30m |
LLM agents ingest RSS STIX feeds, PDFs and websites, extract IoCs (malicious IPs, file hashes, log alarms), and use planning + reflection to validate them… | ||
| Deciphering P&IDs: A Neo4j Approach to Design Automation | Hiroyuki Koito | 14m |
A Neo4j-based pipeline converts P&ID XML into a graph of about 1 million nodes per project, runs graph algorithms to automate takeoffs, instrument-loop… | ||
| GraphRAG: Using LLMs to Build and Interrogate a Regulatory Knowledge Graph | Stephen Mc Gowan | 25m |
GraphRAG combines retrieval-augmented generation with a Neo4j-backed regulatory knowledge graph to return not just passages but the metadata and links between… | ||
| Ontology-Backed GraphRAG: Injecting Biomedical Logic in LLMs for Drug Discovery | Christopher Li, Hamza Farooq | 14m |
Claims an ontology-backed GraphRAG system cuts LLM hallucinations and raises precision for target identification, drug repurposing and mechanism‑of‑action… | ||
| Using Graphs to Fine-Tune Agents | Julian Saks | 14m |
Graphs store every agent run as an execution graph in Neo4j and RAG retrieves prior successful runs as context to decide next steps, not just documents… | ||
| Building Knowledge Graphs with LLMs from USPTO Patent Data | Tim Eastridge | 18m |
Fifty years of USPTO records become a Neo4j knowledge graph with stored vector embeddings and UMAP plots, OpenAI GPT simplifies abstracts into plain… | ||
| Neo4j and Next.js: A Full-Stack Relationship | Abhishek Das | 40m |
Builds a serverless full‑stack app that actually connects Neo4j AuraDB to Next.js + Bun via GraphQL and TypeScript, seeds the database (demo seed creates 179… | ||
| Building Cypher Queries With Open-Source LLMs | Djordje Benn-Maksimovic | 22m |
Shows a full pipeline that crawls news with Fundus, extracts entities via GLiNER and relations via Relic, clusters topics and writes triples into Neo4j, then… | ||
| Entity Resolved Knowledge Graphs | Paco Nathan | 30m |
Builds a Neo4j knowledge graph by running entity resolution over multiple open datasets (beneficial ownership, sanctions lists, GLEIF, Panama Papers, leaked… | ||
| Building an Entity-Resolved Knowledge Graph: Why and How | Jean Villedieu | 26m |
Shows a concrete pipeline that turns the ICIJ offshore/Panama Papers graph into an entity-resolved knowledge graph by integrating a sensing engine (Senzing)… | ||
| Keynote: Tracking the Pulse of Generative AI | Ben Lorica | 44m |
More than 30 model variants are easily accessible and providers follow scaling laws so cutting‑edge models get bigger and costlier to train, making… | ||
| The Personal Knowledge Vault | MIKE MORLEY | 23m |
A minimal viable Personal Knowledge Vault that targets caregivers and people with functional memory loss uses Neo4j graph database as the context store… | ||
| Neo4j, GraphQL, Vector Indexes, and GenAI: Exploring New Possibilities | Michael Webb | 12m |
Neo4j GraphQL Library now exposes a read‑only @vector directive that plugs into GenAI providers (demo uses OpenAI) to encode/query 1,536‑dim embeddings; it… | ||
| Keynote: Tracking the Pulse of Generative AI | Ben Lorica | 44m |
Counts over 30 accessible models and argues that the winning edge is not training from scratch but post‑training competitive advantage through fine‑tuning… | ||
| Revolutionizing RAG for Financial Data With Knowledge Graphs | Charles Borderie | 21m |
Demo shows an end-to-end pipeline that ingests PDFs, slides and XBRL, auto-builds an ontology, and stores facts in Neo4j while using Azure OpenAI embeddings… | ||
| LLM-Assisted Data Exploration With the Neo4j Runway Python Library | Alex Gilmore | 14m |
A Python library that uses Runway v0.14 beta plus GPT‑4o‑mini and GPT‑4o to turn CSVs into a Neo4j graph: supply a YAML data dictionary, run three async… | ||
| Developer Productivity for GenAI Apps | Oleg Šelajev | 30m |
Argues that production GenAI needs standard dev workflows: local small models (ollama, llama.cpp, TGI) run in containers for parity, CI evaluation using the… | ||
| Knowledge Graph For Digital Twin | Qianhao Liu, Kim Robinson | 27m |
AiSpanner builds a digital twin that links 3D models, Gantt tasks and resources in a Neo4j graph so planners run simulations, show cranes and waypoints, detect… | ||
| Neo4j GDS for Snowflake | Stu Moore, Zach Blumenfeld | 27m |
Neo4j Graph Data Science runs inside Snowflake via the Snowpark Container Service so teams can run algorithms through SQL without moving data, using a… | ||
| GNN-RAG: Bridging Graph Reasoning and Language Understanding for Knowledge Retrieval | Karrtik Iyer | 23m |
GNN-RAG combines graph neural networks for candidate node classification and path scoring with an LLM for final generation, verbalizing shortest paths from the… | ||
| Neo4j Product Vision and Roadmap | Sudhir Hasbe | 30m |
Neo4j positions itself as a cloud‑first graph platform with 22,000+ Aura databases, a 99.95% SLA, and new tiers: Aura Pro free trial (4–8 GB RAM, 7–14 days)… | ||
| New Approach of Artificial Intelligence for Fertility Treatment | Kais Zhioua | 12m |
Benchmarks Tanit.AI against GPT-3.5-Turbo and GPT-4 using a knowledge graph built from 400 documents (medical guidelines and publications) with medical… | ||
| Graph-Based Approach for Advanced Analysis of Building Design models | Ali Ismail | 29m |
A fully automated IFC to Neo4j ETL converts IFC STEP files via an IFC web server to CSV then to nodes and relationships with auto-generated Cypher scripts; it… | ||
| Building a Text2cypher Model | Makbule Gulcin Ozsoy | 14m |
Merged and cleaned around 25 public and internal Cypher datasets into a unified English corpus, producing ~40k training / ~5k test pairs with question, schema… | ||
| Fireside Q&A | Emil Eifrem, Andreas Kollegger | 31m |
Live Q&A covers product moves and hard numbers: continuous delivery into Aura instead of big releases, engine improvements like parallel runtime and MVCC that… | ||
| Neo4j Product Vision and Roadmap | Sudhir Hasbe | 30m |
Neo4j positions itself as a cloud‑first graph platform with concrete changes: Aura runs over 22,000 databases with a 99.95% SLA, now offers Aura Pro free trial… | ||
| Why Data Modeling Matters and Why It's Important to You | Siraj Munir, Rimsha Imran | 16m |
A synthetic anti‑money‑laundering dataset loads two ways: one import creates only transaction nodes (nodes exist but no relationships), the other uses MERGE to… | ||
| Measuring the Performance of VectorRAG vs GraphRAG | Nathalie Charbel, Makbule Gulcin Ozsoy, Estelle Scifo | 23m |
Comparison uses RAGAS automated assessment on Neo4j graphs built from movie (≈100 Q/A) and product (≈250 Q/A) datasets, with questions expanded by LLMs and… | ||
| Easy Metadata Management (Git for Data) Using Neo4j | Pavan Kumar Narendra | 15m |
Built a metadata system on Neo4j Community Edition that captures table/column lineage, ownership, and schema types instead of relying on Bloom; it generates… | ||
| Enhancing Business Process Anomaly Detection With Neo4j and Graph Neural Networks | Teoman Berkay Ayaz | 29m |
AnomalyNet framework converts BPM event logs into graphs stored in Neo4j graph database and runs graph neural network autoencoders to flag deviations… | ||
| The GitHub Graph: Open-Source Collaboration Patterns and Neo4j | Emilie Ma | 28m |
Uses Neo4j and Cypher to model GitHub as a PR–issue graph, scraping 56 projects and ~90,000 issues/PRs, then manually labeling a final sample of 64 connected… | ||
| The Missing Puzzle Piece in Agentic Financial Analysis: Self-Learning Knowledge Graphs | Mitesh Tank | 17m |
Claims a working AI financial analyst built on self-learning knowledge graphs that encode individual investment philosophies and learns from user interactions… | ||
| Just Add an LLM: Creating a New Food Recommendation Engine From an Old Cypher Based One | Alicia Powers | 23m |
Upgrades a Cypher-only food recommender into three concrete variants: baseline hard-coded Cypher, LLM-generated Cypher, and retrieval-augmented generation with… | ||
| A New Era for Graph Queries: ISO/IEC 39075 GQL | Stefan Plantikow | 29m |
ISO/IEC 39075 is a 630 page standard that defines GQL a complete graph database language built on SQL ideas and inspired by Cypher and used to reduce vendor… | ||
| Enhancing Job Matching With Knowledge Graphs and RAG | Otávio Calaça Xavier | 25m |
Builds a Neo4j knowledge graph of profiles, roles, skills, companies and recruitment journeys and demonstrates two concrete RAG pipelines: one using ChromaDB… | ||
| Enhancing Financial Analytics With Event-Driven Architectures and Graph Neural Networks | Akash Chandra | 27m |
Combines Neo4j with graph neural networks and an event-driven pipeline (Apache Kafka, ETL) to convert siloed SQL and unstructured data into live graphs and… | ||
| Using Dbpedia and Wikidata Knowledge Graphs With Neo4j | Cuneyt Tyler | 26m |
Built a web app that imports Dbpedia and Wikidata into Neo4j via API and Java, ending up with 20M nodes and 1M relationships, exposes graph visualizations and… | ||
| Block Format: The Next Generation Graph-Native Storage Engine | Valdemar Roxling | 22m |
Block Format replaces separate node/relationship/property files with collocated records: a 128-byte small store (64B labels/properties + 64B relationship… | ||
| Knowledge Graph of Your IT Landscape: Code Is Graph Data | Syméon del Marmol, Laurent Chatelanat | 28m |
Claims that code is storable as graph data and shows a working stack: Neo4j composition database, Draw composer IDE, and a lightweight runtime agent deployed… | ||
| What Is the Most Important Part of Your Graph? Understanding Centrality and GDS | Cayley Hauser | 27m |
Concrete claims and tools: Neo4j Graph Data Science runs parallelized centrality algorithms and can write scores back as node properties for visualization and… | ||
| Supercharge Your Performance With the New VSCode Plugin for Neo4j | Nacho Cordon | 13m |
A VS Code extension that connects to any AuraDB instance, extracts results in an inline result pane, and highlights and validates Cypher embedded in other… | ||
| Constructing Knowledge Graphs from Sharepoint Site | Muhammad Arif Wicaksana | 15m |
Shows a working pipeline that pulls page and webpart JSON from Microsoft Graph API, loads structured nodes and ordered relationships into Neo4j, and enriches… | ||
| Demystifying Neo4j With APOC and Java | Parvez Alam | 14m |
Shows how to add extended APOC JAR and enable JSON import/export via apoc.config, and wires Neo4j into Java with a wrapper class and a GET controller… | ||
| Enhancing Knowledge Graphs with LLMs: Keyword Extraction and Synonym Merging | Drew McCornack | 16m |
LLM pipeline extracts ~5,000 candidate keywords from laureate biographies, lectures, press releases and Wikipedia, then computes pairwise embeddings (≈25… | ||
| Neo4j for Java Developers | Gerrit Meier | 29m |
Covers concrete tooling and examples: shows the Java driver with driver.execQuery (built‑in retries), Spring/Quarkus/Helidon auto‑configuration, Spring Data… | ||
| Combining Third-Party Data, Entity Resolution, and Graph Analytics for ESG Risk Mgmt | Jean Villedieu, Alan Brown | 28m |
Demo builds a working pipeline that combines Dun & Bradstreet climate data, entity resolution via Sensing, Databricks preprocessing and the DataX connector to… | ||
| Graph-Based Authorization: How to Secure Your API With Your Own Graph | Alex Babeanu | 29m |
Broken access control remains the top OWASP issue, so the concrete fix shown is to externalize authorization into a PDP talking over Oden to a PEP (API… | ||
| My Cypher Query Takes Too Long. What Can I Do ? | Véronique Gendner | 28m |
Explains how the Cypher planner turns patterns into a logical plan and which operators actually slow queries — leaf/index seek, expand, filter, collect and… | ||
| Abstraction for Human Understanding | Weidong Yang | 26m |
Claims that human working memory is ~7±2 guide a workflow: store richly (120-column US flights table with diversion fields that occupy ~40% and admit up to… | ||
| Concurrent Writes and Locking in Neo4j | Christophe Willemsen | 30m |
Demonstrates Neo4j lock behavior with live Cipher shells, using apoc.util.sleep to simulate long transactions and showing that MERGE creates duplicates under… | ||
| Harness Graph Power With Agentic AI: An Insights Discovery Use Case | Lois JI | 08m |
Claims that graph grounding plus GenAI and Neo4j tooling produce dynamic, organization-specific insights by building an agentic backend that splits work across… | ||
| Compliance Map: Connecting Regulations and Frameworks for Smart Audits | Divya Venkatraman, Vidyaraman Sankaranarayanan | 29m |
Takes the DPTM checklist (50 regulatory requirements) and maps each to the NIST Privacy Framework (100 sub‑requirements) by creating contextualized framework… | ||
| Use Nodestream to Build and Progressively Evolve Your Database | Zach Probst | 26m |
Nodestream is a declarative Python framework that composes pipelines from CSVs into a Neo4j graph and generates schema-aware migrations that the CLI applies… | ||
| Beyond the Silos Achieving Data Harmony With Graph Based ER | Federica Ventruto | 30m |
End-to-end graph-based ER on Neo4j + GDS uses a single streaming Cypher query for candidate selection and ranking, combining node-attribute, graph-pattern and… | ||
| Graph-Driven Knowledge Retrieval: Neo4j for Healthcare Building Codes | Akhil Hemanth | 15m |
Neo4j is used as the vector-backed knowledge graph in a RAG pipeline with OpenAI and LangSmith evaluators to test retrieval+generation on healthcare building… | ||
| Optimizing Real-Time Job Matching: Integrating Neo4j With RAG | Otávio Calaça Xavier | 13m |
Claims that integrating Neo4j with RAG raises match relevance by combining graph structure and LLM context, demonstrated with a working prototype using Neo4j… | ||
| Enhancing Medical Data Processing With Neo4j | Tushar Nitave | 15m |
Neo4j graph DB indexes ATC hierarchies and MeSH to turn 350,000-term taxonomies and deep disease trees into fast traversable graphs, enabling linear traversal… | ||
| Composable RAG Pipelines With OPEA Highlighting GraphRAG | Rachel Roumeliotis, Arun Gupta | 25m |
Open Platform for Enterprise AI (OPEA) provides composable microservices that assemble RAG pipelines using vector DBs (Milvus), an embedding microservice and a… | ||
| Detecting and Mapping Code Defects Introduced by Generative AI Using CodeLogic & Neo4j | Brandon Tylke, Edwin Gnichtel | 26m |
CodeLogic maps code as a Neo4j graph and uses CypherQL plus combined artifact and runtime scanning to flag breaking changes that generative AI edits can… | ||
| Enhancing Supply Chain Resilience and Transparency Through Spatial Knowledge Graphs | Leonie Engemann | 11m |
Constructs a spatial knowledge graph linking factory addresses (geocoded via Google Maps/OpenSupplyHub), materials and products, WWF risk-filter scores, German… | ||
| Beyond Vectors: Evolving GenAI through Transformative Tools and Methods | Alison Cossette | 31m |
A concrete pipeline: documents from docs, blogs, support and GitHub are split into 512-character chunks, embedded on GCP, stored in Neo4j and linked to URLs… | ||
| Talk With Your Documents Via Docs2KG | Pascal Sun | 14m |
Docs2KG converts diverse enterprise files into a dual-pass pipeline that outputs markdown, OCRed text, tables and figures and assembles a layout + semantic KG… | ||
| Java’s GenAI Era: Getting Spring AI and Neo4j Applications to Production | Jennifer Reif, Mark Heckler | 26m |
Quickly builds a Java 21 Maven Spring Boot app that adds an OpenAI embedding model bean, two REST endpoints (/query hits the LLM, /rag calls a Neo4j vector… | ||
| Enhance LLM Applications' Trustworthiness and Explainability | Leann Chen | 25m |
Claims that combining Diffbot’s web-scale knowledge graph with Neo4j produces transparent, verifiable LLM answers by linking extracted entities and source… | ||
| Speed and Precision: Mastering Graph Traversal With Quantified Path Patterns | Pierre Halftermeyer | 27m |
Neo4j 5.9’s Quantified Path Patterns let Cypher filter while expanding, which prune-before-expand and avoids exploding intermediate rows. A supply‑chain query… | ||
| Capital Project Risk Management With Neo4j | Jareth Reeves, Robert Butler, Jake Williams | 28m |
Neo4j consolidates siloed risk and P6 schedule data into a graph that links risks, causes, activities and projects for a large public-sector portfolio worth… | ||
| Configuring Kafka Connector to Process Typed Data and Handle Errors | Emre Hizal | 14m |
Shows how to configure Kafka Connector 5.15 to process typed data using JSON Schema, Protobuf and JSON converters (JSON converter embeds the schema) and to use… | ||
| Faster Data Imports With Concurrent Transactional Subqueries | Robert Steward | 15m |
Shows how Neo4j 5.21’s CALL { ... } IN CONCURRENT TRANSACTIONS runs batches on separate threads to cut a 10 million row import from ~110s to ~26s, and matches… | ||
| Building the Perfect Supply Chain Chatbot | Phil Meredith, Cristian Stelea | 30m |
Claims a Neo4j-powered chatbot can answer compliance and incident questions in seconds instead of days by traversing a graph that links products, ingredients… | ||
| From Ancient Epic to Modern Marvel: Demystifying the Mahabharata Chatbot with GraphRAG | Siddhant Agarwal | 17m |
A working web chatbot maps the Mahabharata into Neo4j and uses GraphRAG plus the Gemini API to translate natural language into Cypher and return graph-aware… | ||
| Datashare + Neo4j: Unstructured Docs to Knowledge Graphs for Investigative Journalism | Clément Doumouro | 14m |
Datashare extracts text and named entities from terabytes of leak files (millions of docs from Panama/Pandora Papers) and a Neo4j plugin creates a graph from… | ||
| Earthquake Knowledge Graph in Japan | Koji Annoura | 15m |
Knowledge graph of Japanese earthquakes is built in Neo4j ingesting JMA event feeds, JSI and disaster agency APIs, satellite TUS surface change tiles and a… | ||
| CypherGUI: User-Friendly Administration for Neo4j | Michal Štefaňák | 30m |
CypherGUI is a browser-based single-page app that administers Neo4j and any Bolt protocol graph database without requiring Cypher knowledge, letting admins… | ||
| Spatial Graph Visualisation and Storytelling with Grapho XR | Michela Ledwidge | 13m |
A spatial interface called Grapho XR Android app lets users physically grab nodes and relationships, view node properties, switch databases and visual themes… | ||
| Knowledge Graphs in Action: Identifying Sanctions Circumvention in a Complex Global Landscape | Alan Brown, Suzie Ogilvie | 29m |
Conference claims standard list screening misses evasion and shows a working pipeline that combines Databricks + Neo4j via spark connector, entity resolution… | ||
| Leveraging Neo4j Graph Data and AI Across the App Development and Deployment Lifecycle | Bill Reynolds | 12m |
Using the Neo4j movies dataset, AI generates Cypher queries, explains existing Cypher, runs vector searches and applies retrieval-augmented generation so… | ||
| Neo4j's Risk Register: Maximise Your Data Insights | Phil Stott, Will Woodward | 27m |
Legacy spreadsheet risk register becomes a Neo4j graph via Apache Hop and GitHub Actions running a 24‑hour ETL, producing Bloom/Neo Dash dashboards and Graph… | ||
| Navigating Corporate Language: Developing a Graph-Based Glossary | Charles Angione | 28m |
Builds a Neo4j glossary by extracting keywords and phrases from documents, turning paragraphs into text nodes, terms into term nodes, and links into… | ||
| Making Virtuous Cycles: Lessons From the Frontier of LLM-Knowledge Graph Interaction | Jim Thornton, Luis Medina | 30m |
Describes concrete systems and results: a Neo4j-based Launch Guardian compares old and new sites (one example: a 60,000-page site) using vector indexing, BERT… | ||
| Streamlining Legislative Compliance with Neo4j | Joakim Nilsson | 11m |
Capgemini + Neo4j pipeline ingests the DORA PDF, cleans text with regex, chunks at ~1024 chars, runs SpaCy coreference resolution, NER and relation extraction… | ||
| Generating Faculty Specific Course Materials With Neo4j and Claude | Joseph Naccarato, Jevonia Harris | 29m |
Project converts 20 years of course transcripts into a searchable Neo4j knowledge graph that links faculty-verified topics to transcript chunks, material… | ||
| Climate and Compliance: The NGFS Climate Scenarios | Arthur Namias de Crasto | 27m |
Walks through the NGFS scenario dataset mapped into a Neo4j graph so climate variables link to industries, ecosystem services, natural capital and mechanisms… | ||
| Enhancing Retrieval-Augmented Generation With GRIX | Filip Seitl | 15m |
GRIX (Graph Index) converts large document corpora into a Neo4j knowledge graph by using an LLM to populate a schema (entities, descriptions, keywords) then… | ||
| Applying Neo4j to Multilevel Marketing Companies | Alejandro Puerto | 14m |
ProsperLink is modeled as nodes for Seller, Sponsor, City, Level, Order and Product and loaded via an ETL pipeline into Neo4j; queries run in Cypher and… | ||
| Cloud-Native Knowledge Graph Automation to Deliver AI Agents API | Adrien Sales | 35m |
Built a cloud-native CI/CD pipeline that continuously ingests CSVs into Neo4j, packages Docker images and on‑prem Podman deployments, and exposes a Quarkus… | ||
| Building Knowledge Base for Real Estate Using Gemma and Neo4j | Ashok Vishwakarma | 27m |
Built a queryable knowledge base for decades of real estate projects by extracting vectors from PDFs and feeding a RAG pipeline using Gemma initially with… | ||
| Enhancing Chat-Based Customer Recommendations With GraphRAG and Hybrid Search | JiunYi Yang | 17m |
GraphRAG uses Neo4j + Qdrant + LLMs to turn chat queries into precise product picks by combining graph-filtering (metadata, schema-flexible specs) with vector… | ||
| Mastering Knowledge Graph Transformations Without Compromising Meaning | Panos Alexopoulos | 21m |
Hands-on recipe for moving between RDF and labeled property graphs with concrete warnings and mappings: shows RDF triples to LPG nodes/edges mapping, two… | ||
| GraphRAG for Increased Trust and Confidence in GenAI for Manufacturing Processes | Clive Ntuli | 23m |
Disparate data systems often obstruct a comprehensive, end-to-end view of processes, hindering digital transformation efforts. In this session, Clive will… | ||
| Update on Genetic Graph Using Massively Extended Neo4j | Matthew Gerring | 27m |
A graph database called Variance of Inferred Conserved Effects (VOICE) models genes, variants, eQTLs and epigenetic peaks and integrates 29 billion peaks and… | ||
| One Import Tool to Rule them All | Ali Ince, Florent Biville | 30m |
Uniform YAML/JSON import specification that maps pluggable sources to node and relationship targets and runs unchanged against both neo4j-admin offline import… | ||
| Leveraging Semantic Networks for Data Integration at Deutsche Bahn | Jörg Baach | 22m |
Deutsche Bahn’s data team (ten members, work started March last year) uses Neo4j to turn many source databases into a single, queryable object per real-world… | ||
| Connecting Users Via Knowledge Graph | Lam Ho | 08m |
Hewlett Packard Enterprise builds a knowledge graph that links partners, certificates, products, orders and customers, runs an ensemble of GDS algorithms… | ||
| Empowering Lifelong Learning: Transforming Data into Insights With GraphRAG | Sarah Toh, Alejandro Seif | 24m |
Built a knowledge graph linking jobs, skills, courses and providers and populated it with 40–50k nodes, over 1,000 SSOC occupations and ~700,000 relationships… | ||
| Graph Traversal Agent for Code Debugging | Jose Domínguez, Benjamin Errazuriz | 16m |
An agent uses Neo4j Graph DB and a BL graph Python package to map repositories into a code graph, then traverses it with simple tools (node-by-id and keyword… | ||
| Using a Graph Database Tree and Data Analytics to Model an Ancient River System | Mark Maslyn | 32m |
Digitized junctions of the Cretaceous J Sandstone river network become nodes in a Neo4j graph exported as GraphML and visualized in Gephi, with flow directions… | ||
| Exploration of Your MEAN Stack With mongo2neo4j and SemSpect | Thorsten Liebig, Marko Luther | 18m |
A mapper called mongo2neo4j reads MongoDB collections and turns object references into Neo4j nodes and relationships using configurable label and relation… | ||
| Query API: A Tale Of Types and HTTP | Greg Woods | 14m |
Query API exposes Cypher over HTTPS in Aura, demonstrated with curl -u user:pass and piping results to jq; responses return fields, values, and bookmarks and… | ||
| From Lost to Local in the Heart of Calgary: Mastering the Plus 15 Maze | Harsingh Sekhon | 10m |
A navigable indoor map of Calgary’s 16+ km Plus 15 is built with Neo4j storing nodes that hold S3 image links and 3D coordinates, with Mapbox + three.js for… | ||
| Making Virtuous Cycles: Lessons From the Frontier of LLM-Knowledge Graph Interaction | Jim Thornton, Luis Medina | 30m |
Project Launch Guardian loads before-and-after site crawls into Neo4j (about 60,000 pages) and uses vector indexing plus cosine similarity to detect mismatched… | ||
| Accelerate Go to Market: Leveraging Neo4j, Kubernetes, and Helm for App Engineers | Chintan Desai | 23m |
Ten-minute lightning overview that shows how to package application and Neo4j deployments with Helm so teams deploy a three-core Neo4j cluster and app pods on… | ||
| Rust Extension for the Python Driver | Grant Lodge, Rouven Bauer | 13m |
Rust extension for the Python driver replaces the pure‑Python PackStream serializer/deserializer with native Rust encoding and decoding, built with Maturin… | ||
| Using Dynatrace and Kibana to Identify Bad Queries and Optimise Them | Salvatore Furnari | 12m |
Dynatrace and Kibana expose long JVM GC pauses that freeze Neo4j for minutes and cause reboots; tracing unique query IDs shows microservices issue bad… | ||
| Faster Analytical Queries with the Cypher Parallel Runtime | Pontus Melke | 23m |
Neo4j’s Parallel Runtime executes a single Cypher query across multiple threads when opted in per query, targets read‑only analytical workloads and cannot… | ||
| CDC Analytics With Graph Stream Zoomer | Kevin Gomez, Christopher Rost | 29m |
A distributed system named Graph Stream Zoomer groups Neo4j CDC into time windows and emits aggregated graph summaries; it reads enriched transaction logs via… | ||
| Introducing Astrolabe: Open-Source Cloud Infrastructure Mapping | Patrick Kennel, Chris Robertson, Ryland Sepic | 29m |
Astrolabe is an open‑source cloud mapping tool that codifies custom discovery scripts (YAML profile strategies) and lightweight plugins to crawl EC2 and… | ||
| Neo4j in the Cloud With NoCode Imports | Florent Biville | 31m |
Declarative import pipeline that runs on Google Cloud Dataflow and writes to Neo4j AuraDB using an import spec JSON; supports BigQuery and CSV sources, maps… | ||
| Computing Midcurve of a Thin Polygon for Mechanical Engineering | Yogesh Kulkarni | 24m |
Takes sheet‑metal 3D mid‑surface extraction and reduces it to computing the midcurve of a thin polygon (extruded sketch profile → 2D midcurve) and frames the… | ||
| Combating Gun Trafficking and Gun Violence With Graph Analytics and Visualization | Merry McCarron | 13m |
A production platform called Crime Gun Connect runs on Neo4j and GraphQL, ingesting entity-resolved traces, red flag analysis and geolocation to link over… | ||
| Cypher Dynamism: A Step Towards Simpler and More Secure Queries | Gem Lamont | 10m |
Neo4j adds dynamic labels and dynamic properties usable with set/remove via $() expressions that must evaluate to a non-null string or list (Neo4j 5.24 for… | ||
| Modeling Enterprise Application Transformation in Neo4j | Mark Nelson | 23m |
Neo4j models enterprise transformation as application nodes and integration edges with pattern labels, loading inventories and phase rules from Excel and… | ||
| The ResearchOps Toolbox + Graph: Discovery for UX Research and Design Teams | Pete Tunkis, Andrew Garber-Browne | 32m |
The ReOps Tools Census gathers data on ~461 tools from ~400+ survey responses and the team loads Airtable into Neo4j via Python, creates a graph projection… | ||
| GenAI Beyond Chat with RAG, Knowledge Graphs, and Python | Martin O'Hanlon | 30m |
Hands‑on workshop that builds a working pipeline: embeddings and a Neo4j vector index for semantic search, a LangChain + OpenAI Python agent that chooses… | ||
| Medical Copilot and Product Lifecycle Copilot Powered by Hopsworks & Neo4j | Darryl Salas, Fabio Buso | 24m |
Medical Copilot centralizes FHIR patient records, runs NVIDIA MONAI x‑ray models, and grounds LLM answers with a vector index and Neo4j so clinical detection… | ||
| Project Strawberry: GDS On Demand Compute | Florentin Dörre, Max Kießling | 23m |
Project Strawberry runs Neo4j Graph Data Science as short‑lived GDS compute sessions hosted in Aura so GDS runs off the database JVM on separate machines… | ||
| How to Navigate the Complicated World of Modern Industrial Establishments | Antonio Javier Nakhal Akel, Riccardo Patriarca, Elena Stefana, Francesco Simone | 29m |
A method converts large STAMP safety-control diagrams into a searchable knowledge graph so long tangled diagrams become queryable assets: an ontology maps… | ||
| Role of Knowledge Graphs in Mental Health Diagnosis and Cure | Sharmistha Chatterjee | 28m |
Links food and biochemical mentions from corpora to mental illness using knowledge graphs and claims that Neo4j-backed GCNs can predict biomarkers and classify… | ||
| Mastering Retrieval-Augmented Generation with the GraphRAG Python Package | Alex Thomas, Will Tai | 02h 00m |
In this workshop, we use the neo4j-genai-python open source package for Retrieval-Augmented Generation (RAG) applications. Learn to integrate Neo4j with… | ||
| #shorts | Alex Thomas, Willie Bloomer | 01m |
Free online workshops run ahead of NODES on November 7 and focus on concrete outcomes: Neo4j Fundamentals teaches core Cypher queries and graph modeling, App… | ||
| Neo4j Fundamentals | Adam Cowley | 02h 03m |
Not familiar with Neo4j? This workshop provides an introduction to show you the basics of Neo4j by explaining the core concepts of graph databases, such as… | ||
| Keynote: Tracking the Pulse of Generative AI | Ben Lorica | 44m |
Claims access to 30+ models with most real use concentrated on OpenAI, Anthropic, Gemini and Llama; survey data shows healthcare budgets: over a third plan to… | ||
| Neo4j Fundamentals | Martin O'Hanlon | 01h 57m |
Not familiar with Neo4j? This workshop provides an introduction to show you the basics of Neo4j by explaining the core concepts of graph databases, such as… | ||
| Visualize, Analyze, and Explore: Learn Neo4j Bloom | Cayley Hauser | 02h 03m |
In this hands-on workshop, we will analyze actors, cartoons, transit data, and more to learn how Bloom makes it easy to explore your graph.
Neo4j AuraDB… | ||
| Learn about graphs and GenAI #shorts #neo4j #graphdatabase #genai | 01m | |
Hands-on coverage of grounding LLMs on Neo4j knowledge graphs to reduce hallucinations with a concrete prototype that wires an LLM to graph queries and… | ||
| Building an Application Backed with Aura and Neo4j Connector for Confluent | Florent Biville, Ali Ince | 01h 56m |
We will build a simple team-based task management application backed by AuraDB, and implement an email notification feature using Neo4j Connector for Confluent… | ||
| nothing matches | ||