This tutorial uses an off-the-shelf ML model (Average Word Embeddings) and a managed vector index for document search: https://www.pinecone.io/docs/examples/sem

This tutorial uses an off-the-shelf ML model (Average Word Embeddings) and a managed vector index for document search: https://www.pinecone.io/docs/examples/semantic-text-search/ https://www.pinecone.io/docs/examples/semantic-text-search/ Even if you choose another model or method for storing and searching through the vector embeddings, the order of operations will be approximately the same.