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...
What is Supervised Fine-Tuning (SFT)

What is Supervised Fine-Tuning (SFT)

in this blog post “What is Supervised Fine-Tuning (SFT)” we will unpack what supervised fine-tuning is, when it’s the right tool, how it works under the hood, and how to run a robust SFT project end-to-end—from data to deployment. What is Supervised...
How to Use the tiktoken Tokenizer

How to Use the tiktoken Tokenizer

In this article, we’ll explore How to Use the tiktoken Tokenizer, why it matters, and practical ways you can apply it in your projects to better control prompts, estimate API costs, and optimize large text inputs. Table of contentsWhy Tokenization MattersInstalling...
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...
Simple Python AI App with Llama to Describe Images

Simple Python AI App with Llama to Describe Images

Want a quick win with multimodal AI? In this post, you’ll build a tiny Python app that uses a Llama vision model to look at an image and tell you what it is. We’ll use Ollama to run the model locally (no paid keys required), then call it from Python. By the end,...