A Brief History of SQL and the Rise of Graph Queries
Jun 20 6 mins read
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. Read more →
Easy Data Ingestion With Neo4j Runway and arrows.app
Jun 17 6 mins read
Learn how to ingest data from relational data into your Neo4j graph database automatically, by using the Neo4j Runway Python Library. Read more →
LangChain Neo4j Starter Kit
May 31 5 mins read
Introducing the Neo4j LangChain Starter Kit for Python developers, which generates GenAI answers backed by data stored in a Neo4j Graph Database. Read more →
Bringing the Mahabharata Epic to Life: A Neo4j-Powered Chatbot With Google Gemini (Part 2)
May 16 4 mins read
Part 2 of analyzing the Mahabharata's connections with knowledge graphs and building a chatbot using Google Gemini to answer questions. Read more →
Unveiling the Mahabharata’s Web: Analyzing Epic Relationships With Neo4j Graph Database (Part 1)
May 14 6 mins read
Part 1 of analyzing the Mahabharata, an epic brimming with connections, using Neo4j graph database to uncover hidden relationships. Read more →
Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs
May 14 3 mins read
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →
genaigraph-databasegraphragknowledge-graphllmNeo4jontologyragretrieval augmented generationsemantic searchsemanticsvectorvector search
Graph-based Metadata Filtering to Improve Vector Search in RAG Applications
Apr 28 11 mins read
Optimizing vector retrieval with advanced graph-based metadata filtering techniques using LangChain and Neo4j. Read more →
graphgraph-databaseknowledge-graphlangchainllmmetadatametadata filteringNeo4jopenairagretrieval augmented generationunstructured-datavector searchvector similarity search
Maximizing Your Neo4j Project’s Potential: An In-depth Guide to Solution Assessment
Apr 11 3 mins read
To help you make the most of your Neo4j graph database project, Neo4j Professional Services offers a special Solution Assessment service. Read more →
graph-databaseNeo4jneo4j professional servicesNeo4j Professional Services offers a special Solution Assessment service.solutionsolution assessmentsolution-architectTo help you make the most of your project
Knowledge Graphs & LLMs: Multi-Hop Question Answering
Mar 28 10 mins read
Learn how to retrieve information that spans across multiple documents through multi-hop question answering using knowledge graphs and LLMs. Read more →
Cypher Sleuthing: How to Find Property Data Types in Neo4j
Mar 25 5 mins read
Learn how to find the data types of properties in Neo4j Graph Database using the Cypher query language and APOC. Read more →
Announcing Neo4j JDBC Driver Version 6
Mar 25 9 mins read
We’re excited to announce Neo4j JDBC Driver version 6. It integrates graph databases with platforms and tools in the Java ecosystem. Read more →
Accelerate Neo4j App Development With Low-Code Keymaker Framework
Mar 20 5 mins read
How to use the Keymaker framework to build low-code analytical query pipelines and APIs, accelerating Neo4j application development. Read more →
Cypher Workbench as a Neo4j Labs Project
Mar 18 5 mins read
Cypher Workbench is a set of tools that helps you conceptualize, model, and work with graphs and the Cypher query language. Read more →
Slow Cypher Statements and How to Fix Them
Feb 13 6 mins read
Understanding how Neo4j Graph Database interprets and executes Cypher is key to debugging slow-running statements. Read more →
Building A Graph & LLM-Powered RAG Application from PDF Documents
Jan 19 5 mins read
Learn how to use PDF documents to build a graph and LLM-powered retrieval augmented generation application. Read more →
Convenient Neo4j Integration Tests in GitHub Actions Using the Aura CLI
Dec 15, 2023 11 mins read
Learn how you can automatically run integration tests on Neo4j in Github Actions using the Neo4j Aura CLI. Read more →
Introducing Deno Runtime to the Neo4j Driver for Javascript
Dec 12, 2023 5 mins read
With the new Neo4j Driver for Javascript version 5.14, you can now query Neo4j using the Deno Typescript and Javascript runtime natively. Read more →
Clustering Graph Data With K-Medoids
Nov 08, 2023 12 mins read
To use k-means on graph data, we need to represent the graph’s topology in vector space. We can do this by applying node embedding algorithms. Read more →
Analyzing Annual Reports Using LLMs and Graph Technology
Nov 06, 2023 8 mins read
Natural language processing made easy. Learn how to analyze annual reports using Large Language Models and knowledge graphs. Read more →
Speed Up Your Queries With Neo4j’s New Parallel Runtime
Oct 25, 2023 13 mins read
The new Parallel Cypher Runtime is a fantastic alternative for executing graph-global read queries, but you should know when to use it. Read more →
Exploring the Intersection of Neo4j and Large Language Models
Sep 15, 2023 3 mins read
As the final blog post of the Project NaLLM blog series, we reflect on the positive aspects and challenges encountered during this project. Read more →
Getting From Denmark Hill to Gatwick Airport With Quantified Path Patterns
Sep 07, 2023 11 mins read
In this article, we are going to show how journey planning can be done using a dataset of the railway network in Great Britain and a new Cypher feature called quantified path patternsIntroductionPlanning a journey on a railway network is usually… Read more →
Learning Neo4j Your Way
Aug 07, 2023 9 mins read
Martin shares his experience of how he structured his learning using Neo4j’s developer relations output and educational content. Read more →
Exploring Neodash for 197M Chemical Full-Text Graph
Jun 13, 2023 3 mins read
In a previous blog, I loaded 197M chemical names into a graph database. All of these are indexed with a full-text index and use the graph properties to improve the search. In order to test the user experience (not just… Read more →
LangChain Cypher Search: Tips & Tricks
Jun 02, 2023 9 mins read
Discover how to optimize prompts for Cypher statement generation to retrieve relevant information from Neo4j in your LLM applications. Read more →
