Artificial Intelligence, Machine Learning, Python, Data Science, Deep Learning.
small datasets) dimension = embeddings_np.shape[1] # Dimension of the embeddings index = faiss.IndexFlatL2(dimension) # Add vectors to the index index.add(embeddings_np) # Example: searching for the vector closest to the first one in the list distances, indices = index.search(embeddings_np[0:1],