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