by CPI Staff | Sep 15, 2025 | 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 | 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 15, 2025 | 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 | Sep 15, 2025 | Blog, RAG
In this blog post How Text Chunking Works for RAG Pipelines and Search Quality we will unpack what text chunking is, why it matters, and how to do it well in real systems. Text chunking is the practice of splitting large documents into smaller, coherent pieces so...
