by CPI Staff | Aug 28, 2025 | 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 | Aug 27, 2025 | AI, Blog, LLM
In this post “What Are Tensors in AI and Large Language Models (LLMs)?”, we’ll explore what tensors are, how they are used in AI and LLMs, and why they matter for organizations looking to leverage machine learning effectively. Artificial Intelligence (AI)...
by CPI Staff | Aug 26, 2025 | AI, Blog, Neo4j
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...
by CPI Staff | Aug 25, 2025 | 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 | Aug 24, 2025 | 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 | Aug 22, 2025 | 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...
