by CPI Staff | Sep 15, 2025 | AI, Blog, LLM
In this blog post Practical ways to fine-tune LLMs and choosing the right method we will walk through what fine-tuning is, when you should do it, the most useful types of fine-tuning, and a practical path to ship results. Large language models are astonishingly...
by CPI Staff | Sep 15, 2025 | AI, Blog, Neo4j
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...
by CPI Staff | Sep 15, 2025 | AI, Blog, LLM, RAG
In this blog post Use Text2Cypher with RAG for dependable graph-based answers today we will show how to turn natural-language questions into precise Cypher queries and reliable answers over your graph data. Before diving into code, let’s clarify the idea. Text2Cypher...
by CPI Staff | Sep 3, 2025 | AI, Blog, Tiktoken
In this blog post Integrate Tiktoken in Python Applications Step by Step Guide we will explore what tokens are, why they matter for large language models, and how to integrate OpenAI’s Tiktoken library into your Python application with a simple, step-by-step example....
by CPI Staff | Aug 31, 2025 | AI, Blog, OpenAI
In this blog post Understanding OpenAI Embedding Models and Practical Ways to Use Them we will unpack what OpenAI’s embedding models are, how they work under the hood, and how to put them to work in search, retrieval augmented generation (RAG), clustering, and...
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...
