Getting Started with LlamaIndex

LlamaIndex is a user-friendly, flexible data framework that connects private, customized data sources to large language models (LLMs). It helps address LLMs' lack of domain-specific knowledge by injecting data. The indexes in LlamaIndex include list index, vector store index, tree index, and keyword index. Each index is made up of "nodes" that represent a chunk of text from a document. LlamaIndex can build many types of indexes depending on the task at hand. It offers an efficient way to query large amounts of data for certain keywords or introduces similarity into LLM applications. The Basics of How to Use LlamaIndex section covers loading a text file, querying the vector store index, and saving and loading an index. Projects that can be created with LlamaIndex include chatbots, web apps, and more.