by CPI Staff | Oct 12, 2026 | AI, Blog, Neo4j
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...
by CPI Staff | Oct 12, 2026 | AI, Blog, LLM
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...
by CPI Staff | Oct 12, 2026 | AI, Blog, OpenAI, Tiktoken
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...
by CPI Staff | Oct 12, 2026 | AI, Blog, Neo4j
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...
by CPI Staff | Oct 12, 2026 | AI, Blog, Llama
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,...
by CPI Staff | Oct 12, 2026 | AI, AI Agents, Blog, OpenAI, Python
This OpenAI Agent post “Building Guardrails in the OpenAI Agent SDK” will explain how to implement a gurdrail system that protact the Agent from misuse. Table of contentsWhat Are Guardrails?Example: A Python-Only GuardrailIntegrating Guardrails Into the...