Hi! I am building a RAG system using LlamaIndex and I am using the VectorStoreIndex.from_documents function, to create my index. As parameters, this function uses the documents conforming the embedding content, the embedding model to use (I'm testing some of them), and a tokenizer. What does this variable do in this function? It is not clear to me from the documentation.
Does anyone know? Thanks in advance!