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LangChain - Example - Workflow Retriever

Configured with Chain Retrieval Qa, OpenAI Chat Model, Retriever Workflow. Review the connections and setup before adapting this template.

Workflow preview
TriggerWhen clicking "ExecuteWorkflow"Manual TriggerSubworkflowWorkflow RetrieverRetriever WorkflowAI & modelsRetrieval QA Chain2Chain Retrieval QaAI & modelsOpenAI Chat ModelOpenAI Chat ModelTransformExample PromptEdit Fields

Node categories in this workflow

  • Trigger
  • Subworkflow
  • AI & models
  • Transform

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
When clicking "Execute Workflow"TriggerManual TriggerSee node parameters
Workflow RetrieverSubworkflowRetriever WorkflowSee node parameters
Retrieval QA Chain2AI & modelsChain Retrieval QaSee node parameters
OpenAI Chat ModelAI & modelsOpenAI Chat ModelSee node parameters
Example PromptTransformEdit FieldsSee 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

  • openAiApi

Workflow notes

Sticky Note1

Replace "Workflow ID" with the ID the Subworkflow got saved as

LangChain - Example - Workflow Retriever

LangChain - Example - Workflow Retriever

Purpose and structure

This folder contains the LangChain - Example - Workflow Retriever workflow. Its executable nodes use chainRetrievalQa, lmChatOpenAi, manualTrigger, retrieverWorkflow, set. 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

When clicking "Execute Workflow"

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

https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Manual/1285_Manual_Stickynote_Import_Triggered.json MIT; preserve source notices.

Canvas section labels

These name areas of the original canvas; they do not include explanatory instructions.

  • Q&A on data returned from a workflow

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