嵌入向量

Mapping text to high-dimensional numeric vectors where similar semantics sit closer together.

Embeddings are the basis of semantic search: documents and queries become vectors, and similarity finds relevant content. Embedding models are billed by dimension/batch and are the core of RAG pipelines.