開発

llamaindex

Guides agents in building LLM applications with LlamaIndex, including RAG pipelines, agent workflows, knowledge graphs, evaluation, observability, deployment, and framework comparisons.

★ 88 GitHub Stars
94 品質スコア
19 ファイル

このSkillについて

Build LLM applications with the LlamaIndex framework. Use when working with LlamaIndex or comparing RAG and agent orchestration frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.

利用例

  • Build RAG pipelines over documents or enterprise data
  • Design multi-agent systems with AgentWorkflow
  • Construct knowledge graphs from unstructured documents
  • Evaluate and troubleshoot retrieval quality
  • Deploy LlamaIndex workflows to production

特徴

  • Nine-phase guidance from ingestion through deployment
  • References for RAG strategies, agents, workflows, graphs, and deployment
  • Python templates for basic and agentic RAG workflows
  • Evaluation and observability guidance
  • Structured troubleshooting tables for retrieval, agents, workflows, and deployment

必要要件

  • Python
  • LlamaIndex

対応Agent

指定なし

Skillファイル

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