An Embedding is a numerical representation (a vector) of data – typically text – that mathematically encodes the content’s meaning and context. It is the language that AI uses to understand similarity. Phrases with similar meaning will have embeddings that are numerically close together.
Spiral Scout utilizes embeddings to power Semantic Search and RAG capabilities, enabling agents to quickly retrieve relevant knowledge based on conceptual meaning rather than just keyword matches.
