Data Science & Analytics

Llamaindex

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.

Publisher / source

Orchestra-Research/AI-Research-SKILLs (found on skills.sh, an awesome list)

Upstream record

Orchestra-Research/AI-Research-SKILLs

Version

Version 2

Published

2026-11-02

Publication review

Approved for publication

Content fingerprint

a603d319831beb1e46efd9299532b2462ee0d0cf01d7aa8928bd21763a3d9760