What is Agentic RAG?
Standard RAG often follows Question → Retrieval → Answer. Agentic RAG turns this into a decision loop that can plan a question, search multiple sources and evaluate whether Context is sufficient.
It is useful when the answer is not in one document or source.
RAG vs. Agentic RAG
Standard RAG generally has one Retrieval stage. Agentic RAG can add Plan, Retrieval, Evaluate and another Retrieval when needed.
More capable does not mean always better; extra complexity should be accepted only when the problem requires multi-step search.
Why use Agentic RAG?
A question about the status of equipment purchased for Project X may require a project document, an asset system and a procurement system. One Retrieval step is not enough.
Agentic RAG can select the next approved source and inspect each result before completing the Context.
Query decomposition
A complex question can be split into smaller Subqueries. Each can target a source, search type or approved tool.
Multi-source Retrieval
Connecting sources requires compatible data, ranking and access control.
- Document Store
- Database
- Search
- API
- Knowledge Base
Evaluation: is Context sufficient?
The Agent can assess whether Context is enough and choose another search when needed. Step, Timeout and stop conditions are essential.
Agentic RAG limitations
Each extra stage can increase time, cost and error probability.
- Latency
- Cost
- Loops
- Retrieval drift
- Tool errors
- Evaluation complexity
- Permission complexity
Security in Agentic RAG
Every Retrieval stage must be permission-aware. Agentic RAG must not bypass access or combine sources a user cannot see.
Agentic RAG at Aivan
For complex enterprise scenarios, Agentic RAG can help when the answer is spread across approved sources and the system must build Context step by step.
Frequently asked questions
What is Agentic RAG?
A multi-step Retrieval pattern that can plan a question, search sources and evaluate Context.
How is it different from standard RAG?
Standard RAG often has one Retrieval stage; Agentic RAG can make further searches based on intermediate results.
Is Agentic RAG always better?
No. It adds complexity, cost and latency and should fit the actual problem.
Can it bypass access?
It should not. Every source and Retrieval stage must be controlled by the request identity and permissions.
What are its limitations?
Latency, cost, loops, tool errors, evaluation and permission complexity.
Sources and further reading
- Google ResearchUnlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG5 June 2026 · Research / Engineering