The creator of LlamaIndex wanted to make it accessible to everyone – from beginners just getting started with LLMs all the way to expert developers building complex systems. That’s why LlamaIndex uses a design principle called progressive disclosure of complexity. Don’t worry about the fancy name – it just means that the framework starts simple and gradually reveals more advanced features when you need them.

When you first use LlamaIndex, it feels like magic! With just a few lines of code, you can connect data and start querying the LLM. Under the hood, LlamaIndex converts the data into an efficient index that the LLM can use.

Have a look at this very simple example that first loads a set of text documents from a local directory. It then builds an index over the documents and queries that index to get a summarized view of the documents based on a natural language query:

from llama_index...