Good article. Agentic RAG feels like an important step because AI Agents should not only retrieve information passively; they should decide what kind of information is needed.
But I think agentic retrieval also increases the need for governance.
If an agent can choose what to retrieve, the system still needs to control:
- Which sources are allowed
- What data scope applies
- Whether the retrieved context is current
- Whether the agent is authorized to see it
- Whether the final answer is grounded in the retrieved evidence
Otherwise retrieval becomes more flexible, but also harder to audit.
For enterprise or organizational agents, the retrieval layer needs permissions and provenance, not only semantic relevance.
Good article. Agentic RAG feels like an important step because AI Agents should not only retrieve information passively; they should decide what kind of information is needed.
But I think agentic retrieval also increases the need for governance.
If an agent can choose what to retrieve, the system still needs to control:
Otherwise retrieval becomes more flexible, but also harder to audit.
For enterprise or organizational agents, the retrieval layer needs permissions and provenance, not only semantic relevance.