Docs RAG — Cursor app

Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.

Docs RAG

Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.

Store

cursor

Publisher

Not reported

First observed

2026-10-11T11:03:11+00:00

Open the interactive profile to explore rank history, metrics, tools and listing versions.

Data as of 2026-10-14T00:06:30+00:00.

OpenApps records store listings and observed changes. Store ranks are not download counts; launch dates may be derived or use the first observation. Coverage gaps are shown in the interactive catalog.

REST API specification · Guide for AI clients · Manage API keys and MCP connections