LlamaIndex – Data Framework for LLMs
SkillAI & modelsBuild data-connected LLM applications with LlamaIndex
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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
| Variable | Description |
|---|---|
{{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
github.com/bidewio/better-openclaw
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