Llamaindex
orchestra-research/ai-research-skills/14-agents/llamaindexby orchestra-research773a52944ba4MIT13K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 months ago
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/agents.md | 1.9 KB | text/markdown |
| references/data_connectors.md | 2.3 KB | text/markdown |
| references/query_engines.md | 9.7 KB | text/markdown |
| SKILL.md | 14.4 KB | text/markdown |
Source and attribution
Source:orchestra-research/ai-research-skillsin14-agents/llamaindexat commit773a529
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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