### LlamaIndex 5-Line Quickstart for Data Querying (Python)

Source: https://docs.llamaindex.ai/

A concise Python example demonstrating how to load data from a directory, create a VectorStoreIndex, and query it using LlamaIndex. It requires documents to be placed in a 'data' folder.

```python
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader

documents = SimpleDirectoryReader("data").load_data()
index = VectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()
response = query_engine.query("Some question about the data should go here")
print(response)
```

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### Install LlamaIndex Python Library

Source: https://docs.llamaindex.ai/

Installs the LlamaIndex Python library using pip. This is a prerequisite for using LlamaIndex in Python projects.

```bash
pip install llama-index
```

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