GraphStuff.FM: The Neo4j Graph Database Developer Podcast

What Is Graph Data Science?

Jun 28, 2023

Graph data science and its connection to AI and generative AI. Different access patterns in graph databases and the use of graph algorithms. Relationship between generative AI and graph data science. Introduction to APOC load JSON tool for geospatial functionality. Favorite tools for graph data science. Tools and features of Spring Data Neo4j.

49:02

Creator website

AI Summary

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

Graph data science involves using graph databases to analyze complex relationships in data and enhance the functionality of applications.

Graph data science provides explainability and visualization, allowing for traceability of results and representation of complex graph structures in a visually appealing manner.

Deep dives

Graph data science and its relation to AI and generative AI

Graph data science is the study of using graph structures and algorithms to analyze and gain insights from data. It is particularly relevant to artificial intelligence (AI) and generative AI, as it allows for the exploration and understanding of complex relationships in data. Graph data science involves using graph databases to perform local traversals and global graph operations, such as page rank, to answer questions and solve problems. It offers application developers the ability to leverage graph algorithms and techniques to enhance the functionality of their applications.

Introduction

2min

Access Patterns and Graph Algorithms

7min

Generative AI and its Relationship with Graph Data Science

30min

Favorite Tool of the Month: APOC load JSON

2min

Favorite Tools for Graph Data Science

2min

Tools and Features of Spring Data Neo4j

5min

Neo4j Graph Data Science: https://neo4j.com/docs/graph-data-science/current/introduction/
Use Graphs For Smarter AI With Neo4j and Google Cloud VertexAI: https://cloud.google.com/blog/products/ai-machine-learning/analyze-graph-data-on-google-cloud-with-neo4j-and-vertex-ai
Harnessing LLMs with Neo4j: https://neo4j.com/developer-blog/harness-large-language-models-neo4j/
Knowledge Graphs & LLMs: Fine-Tuning Vs. Retrieval-Augmented Generation: https://medium.com/neo4j/knowledge-graphs-llms-fine-tuning-vs-retrieval-augmented-generation-30e875d63a35
LangChain Cypher Search: Tips & Tricks - How to optimize prompts for Cypher statement generation to retrieve relevant information from Neo4j in your LLM applications: https://medium.com/neo4j/langchain-cypher-search-tips-tricks-f7c9e9abca4d
Integrate LLM workflows with Knowledge Graph using Neo4j and APOC: https://towardsdatascience.com/integrate-llm-workflows-with-knowledge-graph-using-neo4j-and-apoc-27ef7e9900a2
Knowledge Graphs & LLMs: Multi-Hop Question Answering - Retrieve information that spans across multiple documents: https://medium.com/neo4j/knowledge-graphs-llms-multi-hop-question-answering-322113f53f51
Neo4j and Generative AI (video): https://youtu.be/mMkXnmueasA
Neo4j Graph Academy: https://graphacademy.neo4j.com/
Community Detection with GDS - Identify communities of people based on their survey responses: https://graphacademy.neo4j.com/courses/gds-community-detection/
Introducing The Spatial Cypher Cheat Sheet: https://lyonwj.com/blog/spatial-cypher-cheat-sheet
New Sandbox Feature - SSO: https://neo4j.com/developer-blog/neo4j-sandbox-sso/
How to Implement SSO in your Neo4j Instance: https://neo4j.com/developer-blog/implement-sso-neo4j-auth0/
apoc.load.json procedure: https://neo4j.com/docs/apoc/current/import/load-json/
Arrows.app: https://arrows.app/
Bellman-Ford Single-Source Shortest Path: https://neo4j.com/docs/graph-data-science/current/algorithms/bellman-ford-single-source/
Spring Data Neo4j: https://spring.io/projects/spring-data-neo4j#overview
Upcoming Events
- Exploring Aura Free w/ Michael and Alex: https://neo4j.com/event/discovering-auradb-free-with-michael-alexander-2022-03-14/2023-07-10/
- 360 Degree view of your customers: https://neo4j.com/event/neo4j-live-demo-graph-data-science-get-a-360-degree-view-of-your-customers-july-12/
- Graph Data Science and ML (US timezones): https://neo4j.com/event/neo4j-live-demo-graph-data-science-and-machine-learning-july-14/
- Graph Data Science and ML (Europe timezones): https://neo4j.com/event/neo4j-live-demo-graph-data-science-and-machine-learning-europe-july-26/
- Smarter Fraud Detection with Graph Data Science (US timezones): https://neo4j.com/event/neo4j-live-demo-smarter-fraud-detection-with-graph-data-science-july-19/
- Smarter Fraud Detection with Graph Data Science (Europe timezones): https://neo4j.com/event/neo4j-smarter-fraud-detection-with-graph-data-science-europe-july-19/
- Finding the Right Graph Database: The Pros & Cons of Native vs Non-Native: https://neo4j.com/event/neo4j-live-demo-finding-the-right-graph-database-the-pros-cons-of-native-vs-non-native-july-21/

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.

GraphStuff.FM: The Neo4j Graph Database Developer Podcast

What Is Graph Data Science?

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Graph data science and its relation to AI and generative AI

The components and applications of graph data science

The role of explainability and visualization in graph data science

Getting started with graph data science

Remember Everything You Learn from Podcasts