AI agent taxonomy: 01
Retrieval AI agents
Retrieval AI agents find and synthesize approved organizational knowledge without taking business actions. Agentix Labs builds retrieval systems with source traceability, permission-aware access, evaluation, and clear uncertainty handling.
What retrieval agents do
Retrieval agents answer questions over documents, policies, tickets, product information, CRM notes, knowledge bases, and structured data. Their value comes from returning the right evidence to the right user—not from sounding confident.
- Enterprise knowledge search and synthesis
- Policy, product, and support assistants
- Research and due-diligence workflows
- Source-linked summaries and comparisons
Production controls
- Permission-aware retrieval and tenant boundaries
- Chunking, metadata, freshness, and canonical-source rules
- Citation coverage and answer-grounding evaluation
- Abstention when evidence is missing or conflicting
- Monitoring for stale indexes and retrieval drift
When to choose a retrieval agent
Start with retrieval when the main problem is finding and interpreting trusted information. If the system must update records, send messages, create tickets, or invoke APIs, the workflow has moved into task-agent territory.