Initial project setup for Telegram-to-Qdrant knowledge base.

Add unified n8n workflow, userbot ingestion script, and detailed README for running n8n with a separate Dockerized Telethon collector. Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-23 20:20:56 +03:00
commit a8d634f422
13 changed files with 1768 additions and 0 deletions
--- a/Fixed.json
+++ b/Fixed.json
@@ -0,0 +1,150 @@
+{
+  "name": "Создание базы (TG Text) - Fixed",
+  "nodes": [
+    {
+      "parameters": {
+        "mode": "insert",
+        "qdrantCollection": {
+          "__rl": true,
+          "value": "11111",
+          "mode": "id"
+        },
+        "options": {}
+      },
+      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
+      "typeVersion": 1.3,
+      "position": [
+        608,
+        0
+      ],
+      "id": "7f206108-8187-4ca9-a734-704eae814643",
+      "name": "Qdrant Vector Store",
+      "credentials": {
+        "qdrantApi": {
+          "id": "gS1LJOMgnR7VJFRO",
+          "name": "QdrantApi account 2"
+        }
+      }
+    },
+    {
+      "parameters": {
+        "model": "qwen3-embedding:8b"
+      },
+      "type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
+      "typeVersion": 1,
+      "position": [
+        464,
+        208
+      ],
+      "id": "9c1f5512-f2f7-4469-bcc3-e8a6824aae51",
+      "name": "Embeddings Ollama",
+      "credentials": {
+        "ollamaApi": {
+          "id": "XVSCsyxx8Z57lSRa",
+          "name": "Ollama account 3"
+        }
+      }
+    },
+    {
+      "parameters": {
+        "httpMethod": "POST",
+        "path": "tg-inbox",
+        "options": {}
+      },
+      "type": "n8n-nodes-base.webhook",
+      "typeVersion": 2.1,
+      "position": [
+        0,
+        0
+      ],
+      "id": "f784ec7d-bbc5-4ed4-af89-ec894d99d053",
+      "name": "Webhook",
+      "webhookId": "d857e864-ed25-447f-84ef-27c63190fb93"
+    },
+    {
+      "parameters": {
+        "jsCode": "const msg = $input.item.json.body || {};\nconst rawText = msg.text || \"\"; \nconst meta = msg.metadata || {};\n\nconst senderName = meta.sender_name || \"Unknown\";\nconst senderId = meta.sender_id || \"0\";\n\n// Формируем ОДНУ строку, которая станет ОДНИМ вектором\nreturn {\n  json: {\n    text: `Пользователь ${senderName} (ID: ${senderId}) написал: ${rawText}`,\n    metadata: {\n      ...meta,\n      sender_name: senderName,\n      sender_id: senderId\n    }\n  }\n};\n"
+      },
+      "type": "n8n-nodes-base.code",
+      "typeVersion": 2,
+      "position": [
+        272,
+        0
+      ],
+      "id": "6bb63840-979a-4453-8284-a52df680a972",
+      "name": "Format Data"
+    },
+    {
+      "parameters": {
+        "options": {}
+      },
+      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
+      "typeVersion": 1.1,
+      "position": [
+        752,
+        208
+      ],
+      "id": "5260623b-ec01-4fa6-baed-c340d74d1eab",
+      "name": "Default Data Loader"
+    }
+  ],
+  "pinData": {},
+  "connections": {
+    "Webhook": {
+      "main": [
+        [
+          {
+            "node": "Format Data",
+            "type": "main",
+            "index": 0
+          }
+        ]
+      ]
+    },
+    "Format Data": {
+      "main": [
+        [
+          {
+            "node": "Qdrant Vector Store",
+            "type": "main",
+            "index": 0
+          }
+        ]
+      ]
+    },
+    "Embeddings Ollama": {
+      "ai_embedding": [
+        [
+          {
+            "node": "Qdrant Vector Store",
+            "type": "ai_embedding",
+            "index": 0
+          }
+        ]
+      ]
+    },
+    "Default Data Loader": {
+      "ai_document": [
+        [
+          {
+            "node": "Qdrant Vector Store",
+            "type": "ai_document",
+            "index": 0
+          }
+        ]
+      ]
+    }
+  },
+  "active": false,
+  "settings": {
+    "executionOrder": "v1",
+    "binaryMode": "separate",
+    "availableInMCP": false
+  },
+  "versionId": "483acdf0-ad7b-4ade-ab5a-61f6e3a73f5a",
+  "meta": {
+    "instanceId": "96706479c2e398d2a4e75bb05002310bb6030e8268be45294cab77c6640a0fe6"
+  },
+  "id": "R9JVik9-vpScLvVK-27nM",
+  "tags": []
+}