Evidence · first-party tested
The tool correctly rendered a parallel branch after embedding generation, splitting the flow into a Vector Database path for embeddings and a Metadata Store path for metadata.
RAG ingestion pipeline showing content processing, embedding, and storage flow.
The observation
The tool correctly rendered a parallel branch after embedding generation, splitting the flow into a Vector Database path for embeddings and a Metadata Store path for metadata.
Criterion: Branching & Logic · Scenario: Multi-stage AI content moderation pipeline (group: conditional-flow)
Query this
get_evidence({
tool: "claude-review",
scenario: "conditional-flow"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Free with attribution.
Same input, other tools
Real outputs, no retouching · every cell queryable via API & MCP · aidemos.com