Fiftyone, Qdrant.
encode text embedding = clip_model._model.encode_text(text_features).to(device) # convert to list for qdrant return embedding.tolist() # prompt = "a picture of a giraffe" query_vector = get_text_embedding(prompt, model) print(len(query_vector)) print(len(query_vector[0]) It generates an embedding