Agentic Rag
An open-source Python RAG framework for multi-step reasoning, dynamic context retrieval, autonomous routing, and query answering using LangChain or LlamaIndex…
What it does
The specific capability behind this listing, and where to get it.
Agentic Rag
An open-source Python RAG framework for multi-step reasoning, dynamic context retrieval, autonomous routing, and query answering using LangChain or LlamaIndex…
Agentery has not yet captured structured capability detail for this provider.
Official Agentic Rag links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Agentic Rag good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "agentic_rag",
"name": "Agentic Rag",
"url": "https://github.com/meddadaek/agentic_rag",
"logo": "https://www.google.com/s2/favicons?domain=github.com&sz=128",
"niche": null,
"category": null,
"short_summary": "An open-source Python RAG framework for multi-step reasoning, dynamic context retrieval, autonomous routing, and query answering using LangChain or LlamaIndex…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/meddadaek/agentic_rag"
],
"last_checked": null,
"how_to_connect": {
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"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"price_extras": {
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},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}