Glossary of Terms
Key concepts in the world of AI search and RAG.
RAG (Retrieval-Augmented Generation)
A framework for retrieving relevant facts from an external knowledge base (like your website) to ground Large Language Models (LLMs) in accurate, up-to-date information.
Vector Database
A type of database that stores data as multi-dimensional vectors (embeddings) instead of rows and columns, enabling fast similarity-based search.
Semantic Search
A search technique that understands the intent and contextual meaning of a query, rather than just matching literal keywords.
Embedding
A mathematical representation of a piece of text (or image) as a vector of numbers, capturing its semantic meaning.
Hallucination
A phenomenon where an AI model generates factually incorrect or nonsensical information. RAG is used to minimize hallucinations.