Vector Database, Large Language Models, Llm, Semantic Search, Vector Search.
print(f"{round(similar_vectors['distances'][0][i],6):1.6f} {similar_vectors['metadatas'][0][i]['question_id']} {similar_vectors['documents'][0][i]}") And here is the output: Distance ID Question 1.027662 Q1403 what made the civil war different from others 1.059752 Q2251 when was america pioneered