Category: Key Terms
What is a semantic layer? One place to define your business metrics
A semantic layer defines metrics and terms once for many BI tools. It is not a second warehouse. Start with one certified revenue metric before you buy a…
Fine-tuning vs RAG: two ways to teach an AI chatbot about your company
Fine-tuning changes model behavior with examples. RAG retrieves documents into the prompt. Prefer RAG first for company knowledge; fine-tune when style or task format is the real gap.
What is an embedding in AI? How text becomes numbers
Embeddings turn text into number lists so search and RAG can match meaning. Use them for similarity and retrieval. Do not treat a near neighbor as a verified…
What is a feature store in machine learning?
A feature store shares ML feature definitions for train and serve so numbers stay consistent. Use one when skew hurts. Skip the platform when a spreadsheet of features…
What is data grain? Why you must know what one row in a table means
Grain means what one row represents. Write it down before you join or sum. Mismatched grain is why three honest queries produce three revenues.
