AutomationFlowsAI & RAG › LangChain Workflow Retriever with OpenAI

LangChain Workflow Retriever with OpenAI

Original n8n title: Langchain - Example - Workflow Retriever

LangChain - Example - Workflow Retriever. Uses manualTrigger, retrieverWorkflow, chainRetrievalQa, lmChatOpenAi. Event-driven trigger; 7 nodes.

Event trigger★★☆☆☆ complexityAI-powered7 nodesRetriever WorkflowChain Retrieval QaOpenAI Chat
AI & RAG Trigger: Event Nodes: 7 Complexity: ★★☆☆☆ AI nodes: yes Added:

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "id": "mjCQV12PbF6fw8hR",
  "name": "LangChain - Example - Workflow Retriever",
  "tags": [
    {
      "id": "snf16n0p2UrGP838",
      "name": "LangChain - Example",
      "createdAt": "2023-09-25T16:21:55.962Z",
      "updatedAt": "2023-09-25T16:21:55.962Z"
    }
  ],
  "nodes": [
    {
      "id": "efdc3050-6c68-4419-9f12-f37d6fefb276",
      "name": "When clicking \"Execute Workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        460,
        200
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e0edb9ab-c59f-4d34-983d-861bb2df4f01",
      "name": "Workflow Retriever",
      "type": "@n8n/n8n-nodes-langchain.retrieverWorkflow",
      "position": [
        1120,
        440
      ],
      "parameters": {
        "workflowId": "QacfBRBnf1xOyckC"
      },
      "typeVersion": 1
    },
    {
      "id": "ba47dd13-67d0-499a-b9a2-16928099efce",
      "name": "Retrieval QA Chain2",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
        900,
        200
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "f6d16571-0573-4860-aed9-611f93b050ad",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        800,
        480
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "4fd00751-3db0-489b-8c7f-4ee0fb32fb51",
      "name": "Example Prompt",
      "type": "n8n-nodes-base.set",
      "position": [
        680,
        200
      ],
      "parameters": {
        "fields": {
          "values": [
            {
              "name": "input",
              "stringValue": "What notes can you find for Jay Gatsby and what is his email address?"
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "732b6277-cb4d-4586-ab95-778ac9473fe5",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        860,
        140
      ],
      "parameters": {
        "width": 363,
        "height": 211.90203341144422,
        "content": "### Q&A on data returned from a workflow"
      },
      "typeVersion": 1
    },
    {
      "id": "f09583a3-78e3-4888-8251-2148ffb7ab18",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1040,
        400
      ],
      "parameters": {
        "width": 262.67019427016413,
        "height": 255.8330939602389,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nReplace \"Workflow ID\" with the ID the Subworkflow got saved as"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "48d3bdae-4cec-4b18-b92a-89215def0c68",
  "connections": {
    "Example Prompt": {
      "main": [
        [
          {
            "node": "Retrieval QA Chain2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Retrieval QA Chain2",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Workflow Retriever": {
      "ai_retriever": [
        [
          {
            "node": "Retrieval QA Chain2",
            "type": "ai_retriever",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \"Execute Workflow\"": {
      "main": [
        [
          {
            "node": "Example Prompt",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

LangChain - Example - Workflow Retriever. Uses manualTrigger, retrieverWorkflow, chainRetrievalQa, lmChatOpenAi. Event-driven trigger; 7 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

This template aims to perform Q&A on data retrieved from another n8n workflow. Since that workflow can be used to retrieve any data from any service, this template can be used to ask questions about a

Chain Retrieval Qa, OpenAI Chat, Retriever Workflow
AI & RAG

Summarize Youtube Videos From Transcript. Uses stickyNote, httpRequest, noOp, chainSummarization. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1
AI & RAG

Who is this template for? This workflow template is designed for content creators, researchers, educators, and professionals who need quick, accurate summaries of YouTube videos. It’s ideal for those

HTTP Request, Chain Summarization, Form Trigger +1
AI & RAG

2736. Uses httpRequest, chainSummarization, formTrigger, lmChatOpenAi. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1
AI & RAG

Youtube-ozetleyici. Uses httpRequest, chainSummarization, formTrigger, lmChatOpenAi. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1