AutomationFlowsAI & RAG › AI Dealer Lead Qualifier with Cohere & Pinecone

AI Dealer Lead Qualifier with Cohere & Pinecone

Original n8n title: Dealer Lead Qualifier

Dealer Lead Qualifier. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 11 nodes.

Webhook trigger★★★☆☆ complexityAI-powered11 nodesText Splitter Character Text SplitterCohere EmbeddingsPinecone Vector StoreTool Vector StoreMemory Buffer WindowHugging Face ChatAgentGoogle Sheets
AI & RAG Trigger: Webhook Nodes: 11 Complexity: ★★★☆☆ AI nodes: yes Added:

This workflow follows the Agent → Cohere Embeddings recipe pattern — see all workflows that pair these two integrations.

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
{
  "name": "Dealer Lead Qualifier",
  "nodes": [
    {
      "parameters": {
        "content": "## Dealer Lead Qualifier",
        "height": 520,
        "width": 1100
      },
      "id": "10cea33a-c000-4e24-9f0d-2171b4677fc1",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "dealer_lead_qualifier"
      },
      "id": "6efd10a1-1894-49b8-86db-299fc884d2b0",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "c3617701-6658-4f40-8050-b84d2f4b92a6",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "294923f9-1194-4e09-929f-0f65cfc40184",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "cohereApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "dealer_lead_qualifier"
      },
      "id": "0e73daad-2242-453e-af1c-bd6d96acacd5",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "indexName": "dealer_lead_qualifier"
      },
      "id": "0c18eeed-c8c9-4771-8495-1ad3c1724145",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone"
      },
      "id": "513fa07f-a331-473a-82d1-a5be5d7deedb",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "caa6f351-58ce-405d-98d8-24a036970942",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "fca8e004-a059-4362-bad5-1497d584cd69",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "47f4542b-b789-4c81-99b2-3b44d5e19ba5",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "6879e7bb-3330-4068-b9a3-a568447e9a22",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

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

Dealer Lead Qualifier. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 11 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

API Stats Chart. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Text Splitter Character Text Splitter, OpenAI Embeddings, Pinecone Vector Store +6
AI & RAG

Customer Auto-tagging. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

Text Splitter Character Text Splitter, Cohere Embeddings, Pinecone Vector Store +6
AI & RAG

Applicant Feedback Folder. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Text Splitter Character Text Splitter, OpenAI Embeddings, Pinecone Vector Store +6
AI & RAG

Calendar to ClickUp. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Text Splitter Character Text Splitter, OpenAI Embeddings, Pinecone Vector Store +6
AI & RAG

Price Update Google Sheet. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Text Splitter Character Text Splitter, Cohere Embeddings, Weaviate Vector Store +6