Understanding Word Embeddings

Understanding Word Embeddings

In this blog post Understanding Word Embeddings for Search, NLP, and Analytics we will unpack what embeddings are, how they work under the hood, and how your team can use them in real products without getting lost in jargon. At a high level, a word embedding is a...
Create a Blank Neo4j Instance

Create a Blank Neo4j Instance

In this blog post Create a Blank Neo4j Instance Safely on Docker, VM, or Kubernetes we will walk through how to spin up a clean, secure Neo4j deployment on Docker, a Linux VM, or Kubernetes, and why each step matters. Create a Blank Neo4j Instance Safely on Docker,...
What Are Cypher Queries

What Are Cypher Queries

In this blog post What Are Cypher Queries and How They Power Graph Databases at Scale we will unpack what Cypher is, why it matters, and how to use it effectively. We will keep things practical, with examples and tips you can apply today. Cypher in a nutshell Cypher...
Cypher Queries and RAG Technology Explained

Cypher Queries and RAG Technology Explained

When it comes to making sense of complex data, especially in the era of AI, two concepts often come up together: Cypher queries and RAG technology. Cypher queries are the language behind graph databases like Neo4j, while RAG (Retrieval-Augmented Generation) is an...
GraphRAG Explained

GraphRAG Explained

This article “GraphRAG Explained” will explain what is GraphRAG and how incorporated with LLM. What is GraphRAG? Graph-Based Retrieval Augmented Generation is a way to supercharge Retrieval Augmented Generation (RAG) by storing your knowledge as a graph...
Run Neo4j with Docker inside GitHub Codespaces

Run Neo4j with Docker inside GitHub Codespaces

Run Neo4j with Docker inside GitHub Codespaces article shows you how to stand up a production-like Neo4j environment in minutes, right inside your browser, with no local installs. About Neo4j Before we dive into commands, let’s ground the idea. Neo4j is a native graph...