by CPI Staff | Oct 12, 2026 | AI for Business & AI Strategy, Blog, RAG
In this blog post Vector Databases Versus Relational Databases for Business AI we will explain what each technology does, where it fits and how to avoid an expensive database decision that limits your AI project. Many business AI tools look impressive in a...
by CPI Staff | Oct 12, 2026 | AI for Business & AI Strategy, Azure, Blog, RAG
In this blog post How to Choose the Right Database Architecture for AI Solutions we will explain how to match your data platform to the business problem, rather than choosing a database because it is fashionable. Many AI projects perform well in a demonstration but...
by CPI Staff | Oct 12, 2026 | AI Governance & Risk Management, Blog, Gemini, RAG
In this blog post Can Gemini Parallel Web Grounding Reduce Enterprise Hallucinations we will explain how Google Cloud’s new grounding option works, where it can improve AI accuracy, and why businesses still need controls around the answers it produces. The problem...
by CPI Staff | Oct 12, 2026 | Blog, Neo4j, RAG
In this blog post Understanding Word Embeddings for Search, NLP, and Analytics we will unpack what embeddings are, how they work under the hood, and how your team can use them in real products without getting lost in jargon. At a high level, a word embedding is a...
by CPI Staff | Oct 12, 2026 | Blog, LLM, RAG
In this blog post Architecture of RAG Building Reliable Retrieval Augmented AI we will unpack how Retrieval Augmented Generation works, what to build first, and how to run it reliably in production. Retrieval Augmented Generation (RAG) combines a large language model...
by CPI Staff | Oct 12, 2026 | 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...
