This article explains how the Cursor IDE indexes a codebase, focusing on its approach to understanding code structure and relationships beyond simple text indexing. It details the use of Language Server Protocol (LSP) and the creation of a graph database to represent the codebase, enabling features like code navigation, refactoring, and accurate code completion.
This article explores how to implement a retriever over a knowledge graph containing structured information to power RAG (Retrieval-Augmented Generation) applications.
