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AI & researchAgentCodeExecute Workflow TriggerLM Chat Open RouterMerge

rag grader

Configured with Agent, Execute Workflow Trigger, LM Chat Open Router, Output Parser Structured. Review the connections and setup before adapting this template.

Workflow preview
AI & modelsOpenRouter Chat Model2LM Chat Open RouterTransformMerge7MergeAI & modelsCorrectness graderAgentAI & modelsRelevance graderAgentAI & modelsGroundedness graderAgentTransformGroundedness outputparserOutput Parser StructuredTransformRelevance output parserOutput Parser StructuredTransformCorrectness outputparserOutput Parser StructuredCodeDummy nodeCodeAI & modelsOpenRouter Chat ModelLM Chat Open RouterAI & modelsOpenRouter Chat Model1LM Chat Open RouterTriggerStartExecute Workflow Trigger

Node categories in this workflow

  • AI & models
  • Transform
  • Code
  • Trigger

Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.

Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.

How it works

The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.

Workflow node names, types, and operations
NodeCategoryTypeOperation
OpenRouter Chat Model2AI & modelsLM Chat Open RouterSee node parameters
Merge7TransformMergeSee node parameters
Correctness graderAI & modelsAgentSee node parameters
Relevance graderAI & modelsAgentSee node parameters
Groundedness graderAI & modelsAgentSee node parameters
Groundedness output parserTransformOutput Parser StructuredSee node parameters
Relevance output parserTransformOutput Parser StructuredSee node parameters
Correctness output parserTransformOutput Parser StructuredSee node parameters
Dummy nodeCodeCodeSee node parameters
OpenRouter Chat ModelAI & modelsLM Chat Open RouterSee node parameters
OpenRouter Chat Model1AI & modelsLM Chat Open RouterSee node parameters
StartTriggerExecute Workflow TriggerSee node parameters

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.

Requirements

An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.

Credential types declared in the source

  • openRouterApi

Workflow notes

rag grader

rag grader

Purpose and structure

This folder contains the rag grader workflow. Its executable nodes use agent, code, executeWorkflowTrigger, lmChatOpenRouter, merge, outputParserStructured. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

Start

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

Nik Bear Brown; rights confirmed 2026-10-19 MIT; preserve source notices.

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