llamaindex-agent

From babysitter

411

Description

LlamaIndex agent and query engine setup for RAG-powered agents

AI Summary

Sets up LlamaIndex-powered RAG agents and query engines for knowledge base question answering.

Install

Run in your terminal

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill Content

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

ReActAgent: Reasoning and acting agent
OpenAIAgent: Function calling agent
StructuredPlannerAgent: Plan-and-execute style
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

Links

GitHub Stats

21 forks

Updated 1 month ago

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