Prevent unsafe retrieval-augmented responses
RAG systems can pick up the wrong document version, pull sensitive internal drafts, or select contradictory policies. Tests cover document selection, citation behavior, and leakage paths.
What's at stake
- RAG systems ground responses in retrieved documents—but retrieval isn't always accurate
- Wrong document versions can provide outdated policies or deprecated procedures
- Internal drafts or confidential documents may be accidentally indexed and retrieved
- Contradictory documents lead to conflicting information in responses
- Enterprise customers expect RAG systems to cite current, authoritative sources
How to solve this
RAG (Retrieval-Augmented Generation) systems improve accuracy by grounding responses in retrieved documents. But retrieval introduces new failure modes:
- Version confusion: Retrieving an old policy when a new one exists
- Draft leakage: Pulling internal drafts that shouldn't be in the index
- Contradictory sources: Combining documents that conflict with each other
- Relevance failures: Retrieving tangentially related but incorrect documents
- Citation fabrication: Claiming to cite a document but misrepresenting its content
The solution is to test retrieval behavior systematically and verify citations in real time.
How Superagent prevents this
Superagent provides guardrails for AI agents—small language models purpose-trained to detect and prevent failures in real time. These models sit at the boundary of your agent and inspect inputs, outputs, and tool calls before they execute.
For RAG systems, Superagent's Verify model checks that citations match source content. When your agent claims information comes from a specific document, Verify confirms the document actually says that. Fabricated or misrepresented citations are caught before reaching users.
Superagent's Adversarial Tests probe your RAG system for retrieval failures:
- Queries that should retrieve specific documents
- Scenarios where multiple versions exist
- Edge cases where similar but incorrect documents might be retrieved
- Prompts that test whether internal drafts are accessible
- Contradictory query scenarios that test source reconciliation
Tests identify where your retrieval or citation logic fails. Results show which document types, query patterns, or contexts lead to unsafe responses. You can fix indexing, improve retrieval ranking, or add guardrails to address the root cause.