# Llamaindex Agent

> LlamaIndex agent and query engine setup for RAG-powered agents

- Skill: `a5c-ai/llamaindex-agent` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/llamaindex-agent`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/llamaindex-agent/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/llamaindex-agent

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# LlamaIndex Agent Skill

## Capabilities

- Set up LlamaIndex query engines
- Configure ReAct agents with tools
- Implement OpenAI function calling agents
- Design sub-question query engines
- Set up multi-document agents
- Implement chat engines with memory

## Target Processes

- rag-pipeline-implementation
- knowledge-base-qa

## Implementation Details

### Agent Types

1. **ReActAgent**: Reasoning and acting agent
2. **OpenAIAgent**: Function calling agent
3. **StructuredPlannerAgent**: Plan-and-execute style
4. **SubQuestionQueryEngine**: Complex query decomposition

### Query Engine Types

- VectorStoreIndex query engine
- Summary index query engine
- Knowledge graph query engine
- SQL query engine

### Configuration Options

- LLM selection
- Tool definitions
- Memory configuration
- Verbose/debug settings
- Query transform modules

### Best Practices

- Appropriate index selection
- Clear tool descriptions
- Memory for multi-turn
- Monitor query performance

### Dependencies

- llama-index
- llama-index-agent-openai