RAG (Retrieval-Augmented Generation)
A method where AI retrieves relevant information from external sources before generating a response.
Why it matters
RAG grounds responses in real data, dramatically reducing hallucinations.
In practice
Our Chat Agent retrieves relevant docs, pricing, and use cases before generating — ensuring accuracy over creativity.
See this in practice
How Leap Laboratory uses this concept in real work.
In our service
Automation Architecture→Example use cases
Related terms
Knowledge Base
A structured information store that an agent uses to support decision-making.
Embeddings
Mathematical representations of text that capture meaning, enabling semantic search.
Vector Database
A database storing information as mathematical vectors for semantic search.
Hallucination
AI-generated information that sounds plausible but is factually incorrect.