Sample code for the article on LlamaIndex

[lpozo]

Where to put new files:

• New files should go into a top-level subfolder, named after the article slug. For example: my-awesome-article

How to merge your changes:

1. Make sure the CI code style tests all pass (+ run the automatic code formatter if necessary).
2. Find an RP Team member on Slack and ask them to review & approve your PR.
3. Once the PR has one positive ("approved") review, GitHub lets you merge the PR.
4. 🎉

[martin-martin]

Tried it out, thanks for the updates, all is working for me (except I'm still timing out with Ollama ¯_(ツ)_/¯). Also asking Copilot for a review, but IMO we're good to go.

[Copilot]

Pull request overview

This PR adds sample code for a Real Python tutorial on LlamaIndex, a framework for building RAG (Retrieval-Augmented Generation) applications. The code demonstrates various ways to use LlamaIndex with different LLM providers (OpenAI, Google, Ollama) and indexing strategies.

Key Changes

• Sample Python scripts demonstrating LlamaIndex usage with synchronous and asynchronous queries
• Examples showing different index types (Vector, Summary, Tree)
• Integration examples with multiple LLM providers (OpenAI, Google Gemini, Ollama)

Reviewed changes

Copilot reviewed 11 out of 11 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
python-llamaindex/single_query.py	Basic example showing single query execution with index persistence
python-llamaindex/async_query.py	Demonstrates asynchronous query execution for multiple queries
python-llamaindex/indices.py	Compares different index types (Vector, Summary, Tree)
python-llamaindex/documents.py	Simple document loading example
python-llamaindex/demo.py	Minimal demo showing basic LlamaIndex workflow
python-llamaindex/demo_ollama.py	Integration example with Ollama local LLM
python-llamaindex/demo_gpt5.py	OpenAI integration example (contains nonexistent model)
python-llamaindex/demo_google.py	Google Gemini integration example (contains nonexistent model)
python-llamaindex/requirements.txt	Python dependencies for all examples
python-llamaindex/README.md	Brief documentation linking to the tutorial
python-llamaindex/data/pep8.rst	Sample data file (PEP 8 style guide) for indexing

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[Copilot]

The function get_index lacks a docstring. Consider adding documentation that explains its purpose, parameters, and return value. For example:

def get_index(persist_dir=PERSIST_DIR, data_file=DATA_FILE):
    """Load or create a VectorStoreIndex.
    
    Args:
        persist_dir: Directory where the index is persisted. Defaults to PERSIST_DIR.
        data_file: Path to the data file to index. Defaults to DATA_FILE.
    
    Returns:
        VectorStoreIndex: The loaded or newly created index.
    """

Suggested change

	def get_index(persist_dir=PERSIST_DIR, data_file=DATA_FILE):
	def get_index(persist_dir=PERSIST_DIR, data_file=DATA_FILE):
	"""Load or create a VectorStoreIndex.
	Args:
	persist_dir: Directory where the index is persisted. Defaults to PERSIST_DIR.
	data_file: Path to the data file to index. Defaults to DATA_FILE.
	Returns:
	VectorStoreIndex: The loaded or newly created index.
	"""

[Copilot]

The function get_index lacks a docstring. Consider adding documentation that explains its purpose, parameters, and return value. For example:

def get_index(persist_dir=PERSIST_DIR, data_file=DATA_FILE):
    """Load or create a VectorStoreIndex.
    
    Args:
        persist_dir: Directory where the index is persisted. Defaults to PERSIST_DIR.
        data_file: Path to the data file to index. Defaults to DATA_FILE.
    
    Returns:
        VectorStoreIndex: The loaded or newly created index.
    """

Suggested change

	def get_index(persist_dir=PERSIST_DIR, data_file=DATA_FILE):
	def get_index(persist_dir=PERSIST_DIR, data_file=DATA_FILE):
	"""
	Load or create a VectorStoreIndex.
	Args:
	persist_dir (Path): Directory where the index is persisted. Defaults to PERSIST_DIR.
	data_file (Path): Path to the data file to index. Defaults to DATA_FILE.
	Returns:
	VectorStoreIndex: The loaded or newly created index.
	"""