by CPI Staff | Aug 31, 2025 | AI, Blog, OpenAI
In this blog post Extracting Structured Data with OpenAI for Real-World Pipelines we will turn unstructured content into trustworthy, structured JSON you can store, query, and automate against. Whether you process invoices, support emails, resumes, or contracts, the...
by CPI Staff | Aug 29, 2025 | AI, Blog, LLM
In this blog post Step-back prompting explained and why it beats zero-shot for LLMs we will explore a simple technique that reliably improves reasoning quality from large language models (LLMs) without adding new tools or data. At a high level, step-back prompting...
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...
