building-agents-using-llamaindex
OfficialBuild RAG-enabled AI agents with LlamaIndex.
AuthorComposioHQ
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables developers to build RAG-enhanced AI agents using LlamaIndex integrated with the Composio Tool Router, streamlining session management and tool access.
Core Features & Use Cases
- ReAct-style Agent Construction: Create agents that reason and act by leveraging LlamaIndex providers.
- Multi-language Tutorials: Python and TypeScript workflows illustrating session creation, tool routing, and agent instantiation.
- Tool Router Integration: Manage user toolkits and isolate tool access per user to ensure secure agent operations.
- Real-world Scenarios: Build agents that perform tasks such as creating GitHub issues, querying data, or automating knowledge retrieval.
Quick Start
Use the Python example to create a session, assemble tools via the tool router, instantiate an agent with LlamaIndex providers, and interact with it to complete a sample task like creating a GitHub issue.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: building-agents-using-llamaindex Download link: https://github.com/ComposioHQ/composio/archive/main.zip#building-agents-using-llamaindex Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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