LlamaIndex – Data Framework for LLMs

SkillAI & models

Build data-connected LLM applications with LlamaIndex

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the LlamaIndex skill

What this skill tells your AI

The instructions your AI receives, as published by bidewio/better-openclaw in skills/llamaindex-query/SKILL.md and read by ahel’s review.

LlamaIndex simplifies building RAG pipelines by managing data ingestion, indexing, and LLM integration for question-answering over your data.

  • GitHub: github.com/run-llama/llama_index (40 000+ ⭐)
  • License: MIT
  • Security: Well-maintained, active community. No malware.

Environment Variables

VariableDescription
{{LLAMAINDEX_URL}}Base URL of a LlamaIndex-powered API

Usage Examples

Query an index

curl -s -X POST "{{LLAMAINDEX_URL}}/api/query" \
  -H "Content-Type: application/json" \
  -d '{"query": "Summarise the quarterly report"}'

AI Agent Tips

  • Supports 100+ data connectors via LlamaHub (PDF, Notion, Slack, DBs, etc.).
  • Modular: swap embedding models, vector stores, and LLM providers.
  • Sub-question engine decomposes complex queries automatically.
  • Scalable for processing large document collections.

Signals

GitHub stars
58
Forks
6
Last commit
Aug 2026
Advanced
Item type
skill
Key
llamaindex-query
Source
github.com/bidewio/better-openclaw