adding the workflow collection to git

workflows/1980_workflow_1980.json

@@ -0,0 +1,105 @@
+{
+  "meta": {
+    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
+    "templateCredsSetupCompleted": true
+  },
+  "nodes": [
+    {
+      "id": "27e5f0c0-ba88-4c28-b3be-99c973be15cb",
+      "name": "Sticky Note",
+      "type": "n8n-nodes-base.stickyNote",
+      "position": [
+        -480,
+        -140
+      ],
+      "parameters": {
+        "width": 1083,
+        "height": 357,
+        "content": "## This is an example of basic LLM Chain connected to an open-source model\n### The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this\n\nPlease note the initial prompt that guides the model:\n```\nYou are a helpful assistant.\nPlease reply politely to the users.\nUse emojis and a text.\nQ: {{ $json.input }}\nA: \n```\n\nThis way the model \"knows\" that it needs to answer the question right after the `A: `.\n\nSince Hugging Face node is this is an inference mode, it does not support LangChain Agents at the moment. Please use [Ollama Chat Model](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatollama/) node for that"
+      },
+      "typeVersion": 1
+    },
+    {
+      "id": "4756d5a8-7027-4942-b214-a5ff8310869a",
+      "name": "When chat message received",
+      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
+      "position": [
+        -200,
+        280
+      ],
+      "webhookId": "bf2e38b8-566a-4aeb-8efe-28240f4a6991",
+      "parameters": {
+        "options": {}
+      },
+      "typeVersion": 1.1
+    },
+    {
+      "id": "20a36351-8579-4ac6-9746-526b072aeaa6",
+      "name": "Basic LLM Chain",
+      "type": "@n8n/n8n-nodes-langchain.chainLlm",
+      "position": [
+        20,
+        280
+      ],
+      "parameters": {
+        "messages": {
+          "messageValues": [
+            {
+              "message": "=You are a helpful assistant. Please reply politely to the users. Use emojis and a text."
+            }
+          ]
+        }
+      },
+      "typeVersion": 1.5
+    },
+    {
+      "id": "9b88e307-3ad5-4167-8c5f-e5827f7444ac",
+      "name": "Hugging Face Inference Model",
+      "type": "@n8n/n8n-nodes-langchain.lmOpenHuggingFaceInference",
+      "position": [
+        120,
+        440
+      ],
+      "parameters": {
+        "model": "mistralai/Mistral-7B-Instruct-v0.1",
+        "options": {
+          "maxTokens": 512,
+          "temperature": 0.8,
+          "frequencyPenalty": 2
+        }
+      },
+      "credentials": {
+        "huggingFaceApi": {
+          "id": "ARQ5mOhvBxi283Qk",
+          "name": "HuggingFaceApi account"
+        }
+      },
+      "typeVersion": 1
+    }
+  ],
+  "pinData": {},
+  "connections": {
+    "When chat message received": {
+      "main": [
+        [
+          {
+            "node": "Basic LLM Chain",
+            "type": "main",
+            "index": 0
+          }
+        ]
+      ]
+    },
+    "Hugging Face Inference Model": {
+      "ai_languageModel": [
+        [
+          {
+            "node": "Basic LLM Chain",
+            "type": "ai_languageModel",
+            "index": 0
+          }
+        ]
+      ]
+    }
+  }
+}