| name | llamaindex-query |
| description | Build data-connected LLM applications with LlamaIndex |
| version | 1.0.0 |
| tags | ["ai","rag","llm","data","indexing"] |
LlamaIndex – Data Framework for LLMs
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.