llama-index-legacy

import os from llama_index.legacy import VectorStoreIndex, SimpleDirectoryReader # Set your OpenAI API key as an environment variable os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY", "YOUR_OPENAI_API_KEY") # Create a 'data' directory and place some text files inside it # e.g., echo "The quick brown fox jumps over the lazy dog." > data/example.txt # Load documents from the specified directory documents = SimpleDirectoryReader("data").load_data() # Create a vector store index from the loaded documents index = VectorStoreIndex.from_documents(documents) # Create a query engine and query the index query_engine = index.as_query_engine() response = query_engine.query("What did the fox do?") print(response.response)