Does anyone know how to do a similarity search between embeddings? Let's say I have this: embedding_model = HuggingFaceEmbedding(model_name="embedder") index = VectorStoreIndex.from_documents(documents, embed_model=embedding_model, storage_context=storage_context)
I want to use the same embedding_model to encode a query and find the most similar document in my vector store