Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
Install
npx skills add Orchestra-Research/AI-Research-SKILLs --skill llamaindexnpx skills add Orchestra-Research/AI-Research-SKILLs --skill llamaindex -a claude-code -gnpx skills add Orchestra-Research/AI-Research-SKILLs --skill llamaindex -a codex -ggemini skills install https://github.com/Orchestra-Research/AI-Research-SKILLs.git --path 14-agents/llamaindexgh skill install Orchestra-Research/AI-Research-SKILLs llamaindexgit clone --depth 1 https://github.com/Orchestra-Research/AI-Research-SKILLs /tmp/Orchestra-Research__AI-Research-SKILLs
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/Orchestra-Research__AI-Research-SKILLs/14-agents/llamaindex ~/.claude/skills/llamaindex # Claude Code
cp -R /tmp/Orchestra-Research__AI-Research-SKILLs/14-agents/llamaindex ~/.agents/skills/llamaindex # Codex, Cursor, Gemini CLI, Copilot, OpenCode