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.
- Version
- 1.0.0
- License
- MIT
Pinned to revision df088027ff23, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/llamaindex/SKILL.md
- skills/llamaindex/references/advanced-rag-patterns.md
- skills/llamaindex/references/agents-with-tools.md
- skills/llamaindex/references/agents.md
- skills/llamaindex/references/data_connectors.md
- skills/llamaindex/references/query_engines.md
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