Vector Database, Large Language Models, Llm, Semantic Search, Vector Search.
code: #pretty output print(f'{"Distance":>8} {"ID":>4} {"Question"}') for ids in similar_vectors['ids'][0]: i = similar_vectors['ids'][0].index(ids) # print(f"{round(similar_vectors['distances'][0][i],6):1.6f} {ids:>4} {similar_vectors['documents'][0][i]}")