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Bitrix24 RAG Chatbot z obsługą sztucznej inteligencji dla kanałów Open Line

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Przegląd

Zmodernizuj swoje kanały Open Line w Bitrix24 dzięki inteligentnemu chatbotowi wykorzystującemu technologię Retrieval-Augmented Generation (RAG), który dostarcza precyzyjne, oparte na dokumentach odpowiedzi na zapytania klientów w czasie rzeczywistym.

Przykłady zastosowań

Ten workflow jest idealny dla organizacji, które chcą usprawnić obsługę klienta w Bitrix24, oferując zautomatyzowane, oparte na wiedzy odpowiedzi. Oto kluczowe zastosowania:

  • Zespoły obsługi klienta, które odpowiadają na powtarzające się pytania
  • Działy wsparcia technicznego z obszerną dokumentacją produktową
  • Zespoły sprzedażowe potrzebujące szybkiego dostępu do informacji o produktach
  • Organizacje chcące zapewnić 24/7 wsparcie dla klientów
  • Firmy z wielojęzyczną obsługą klienta
  • Instytucje edukacyjne udzielające automatycznych odpowiedzi na FAQ
  • Platformy e-commerce wspierające klientów w procesie zakupowym

Funkcjonalności workflow

Inteligentne przetwarzanie dokumentów

Automatycznie przetwarza przesłane dokumenty PDF, dzieli je na fragmenty, generuje osadzenia wektorowe dla zrozumienia semantycznego i indeksuje zawartość dla efektywnego wyszukiwania.

Odpowiedzi wspierane przez AI

Wykorzystuje Google Gemini AI do generowania odpowiedzi w języku naturalnym, konstruuje odpowiedzi na podstawie treści dokumentów, utrzymuje kontekst rozmowy i zapewnia odpowiedzi awaryjne gdy informacja nie jest dostępna.

Integracja z bazą danych wektorowych

Przechowuje osadzenia dokumentów w bazie Qdrant, umożliwia wyszukiwanie semantyczne wykraczające poza proste dopasowanie słów kluczowych i pobiera najbardziej relewantne informacje dla każdego zapytania.

Obsługa webhooków

Przetwarza przychodzące wiadomości z kanałów Open Line Bitrix24, zarządza uwierzytelnianiem i walidacją bezpieczeństwa oraz kieruje różne typy zdarzeń do odpowiednich handlerów.

Routing zdarzeń

Inteligentnie kieruje różne typy zdarzeń w tym nowe wiadomości użytkowników, dołączanie bota do rozmowy, instalację aplikacji i usuwanie bota.

Zarządzanie dokumentami

Organizuje przetworzone dokumenty w dedykowanych folderach, śledzi status przetwarzania i utrzymuje metadane dokumentów.

Interaktywne menu

Dostarcza opcje menu dla typowych zapytań użytkowników z możliwością dostosowania i opcją przekierowania do operatora.

Architektura techniczna

Komponenty

  • Webhook Handler: Odbiera i waliduje żądania z Bitrix24
  • Credential Manager: Bezpiecznie zarządza tokenami i kluczami API
  • Event Router: Kieruje zdarzenia do odpowiednich funkcji
  • Document Processor: Obsługuje ładowanie, dzielenie i osadzanie dokumentów
  • Vector Store: Baza Qdrant do przechowywania i wyszukiwania osadzeń
  • Retrieval System: Wyszukuje relewantne fragmenty dokumentów
  • LLM Integration: Model Google Gemini do generowania odpowiedzi
  • Response Manager: Formatuje i wysyła odpowiedzi do Bitrix24

Punkty integracji

  • API Bitrix24: Do rejestracji bota i obsługi wiadomości
  • API Ollama: Do generowania osadzeń dokumentów
  • API Qdrant: Do przechowywania i wyszukiwania wektorów
  • API Google Gemini: Do generowania odpowiedzi AI

Instrukcja konfiguracji

Wymagania wstępne

  • Aktywne konto Bitrix24 z włączonymi kanałami Open Line
  • Dostęp do systemu workflow n8n
  • Dane dostępowe do API Ollama
  • Dostęp do bazy danych wektorowej Qdrant
  • Klucz API Google Gemini

Kroki konfiguracji

Konfiguracja początkowa

  • Zaimportuj workflow do swojej instancji n8n
  • Skonfiguruj dane dostępowe dla wszystkich usług
  • Skonfiguruj endpointy webhooków

Konfiguracja Bitrix24

  • Utwórz nową aplikację w Bitrix24
  • Skonfiguruj URL webhooków
  • Ustaw odpowiednie uprawnienia
  • Zainstaluj aplikację na swoim koncie Bitrix24

Przechowywanie dokumentów

  • Utwórz dedykowany folder w Bitrix24 na dokumenty bazy wiedzy
  • Skonfiguruj ścieżki folderów w ustawieniach workflow
  • Prześlij początkowe dokumenty do przetworzenia

Konfiguracja bota

  • Dostosuj nazwę, avatar i opis bota
  • Skonfiguruj wiadomości powitalne i opcje menu
  • Ustaw odpowiedzi awaryjne

Testowanie

  • Zweryfikuj poprawność instalacji
  • Przetestuj proces przetwarzania dokumentów
  • Wyślij testowe zapytania aby ocenić jakość odpowiedzi
   Skopiuj kod szablonu   
{"id":"TBiW9x7O4ijo4yOX","meta":{"instanceId":"255b605d49a6677a536746e05401de51bb4c62e65036d9acdb9908f6567f0361"},"name":"Bitrix24 Open Chanel RAG Chatbot Application Workflow example with Webhook Integration","tags":[{"id":"2ziILYLz4IbTkFf5","name":"Tech demo","createdAt":"2025-02-17T08:43:26.445Z","updatedAt":"2025-02-17T08:43:26.445Z"},{"id":"BedOB2iRpKR26bcZ","name":"Chatbot","createdAt":"2025-02-17T08:43:26.436Z","updatedAt":"2025-02-17T08:43:26.436Z"},{"id":"DvSHJwHwuObn0cxx","name":"Open Channels","createdAt":"2025-03-04T07:27:28.499Z","updatedAt":"2025-03-04T07:27:28.499Z"},{"id":"YJcjKoBRFN1HXH5e","name":"Bitrix24","createdAt":"2025-02-17T08:43:26.424Z","updatedAt":"2025-02-17T08:43:26.424Z"}],"nodes":[{"id":"dbd7b2c0-2b27-4c23-beb7-eec128da0787","name":"Bitrix24 Handler","type":"n8n-nodes-base.webhook","position":[-1280,620],"webhookId":"bde38660-2604-4e00-afc0-5ebceebb7f0a","parameters":{"path":"bitrix24/openchannel-rag-bothandler.php","options":{},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":1},{"id":"0ead4d82-4d9b-4392-af4c-2c315068b983","name":"Credentials","type":"n8n-nodes-base.set","position":[-1040,620],"parameters":{"options":{},"assignments":{"assignments":[{"id":"030f8f90-2669-4c20-9eab-c572c4b7c70c","name":"CLIENT_ID","type":"string","value":"local.67c8f9e81cb353.30162021"},{"id":"de9bbb7a-b782-4540-b259-527625db8490","name":"CLIENT_SECRET","type":"string","value":"Db5943DCy4JhYq4oU0yNb21Hx8WimQeThczOYk03uJrVroc8R4"},{"id":"86b7aff7-1e25-4b12-a366-23cf34e5a405","name":"application_token","type":"string","value":"={{ $json.body['auth[application_token]'] }}"},{"id":"69bbcb1f-ba6e-42eb-be8a-ee0707ce997d","name":"domain","type":"string","value":"={{ $json.body['auth[domain]'] }}n"},{"id":"dc1b0515-f06a-4731-b0dc-912a8d04e56b","name":"access_token","type":"string","value":"={{ $json.body['auth[access_token]'] }}"},{"id":"94fdeed8-9437-417e-9c2a-fa853620a340","name":"storageName","type":"string","value":"Shared drive"},{"id":"8564e421-dfce-437c-a7c3-ac6a180594b8","name":"folderName","type":"string","value":"Open line chat bot documents"}]},"includeOtherFields":true},"typeVersion":3.4},{"id":"67b225b8-c2c2-4570-81cb-4c533ae75465","name":"Validate Token","type":"n8n-nodes-base.if","position":[-820,620],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"or","conditions":[{"id":"da73d0ba-6eeb-405e-89fe-9d041fd2e0cd","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.CLIENT_ID }}","rightValue":"={{ $json.application_token }}"},{"id":"4ba90f7b-0299-4097-9ae7-6e4dee428a74","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"1","rightValue":"1"}]}},"typeVersion":2.2},{"id":"4fee1441-4e30-4070-b596-15e121ca7320","name":"Route Event","type":"n8n-nodes-base.switch","position":[-620,520],"parameters":{"rules":{"values":[{"outputKey":"ONIMBOTMESSAGEADD","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.body.event }}","rightValue":"ONIMBOTMESSAGEADD"}]},"renameOutput":true},{"outputKey":"ONIMBOTJOINCHAT","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"e9125f57-129e-4026-86ff-746d40b92b04","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.body.event 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Message","type":"n8n-nodes-base.function","position":[-420,400],"parameters":{"functionCode":"// Process Message Nodenconst items = $input.all();nconst item = items[0];nn// Get message data from the correct pathnconst message = item.json.body['data[PARAMS][MESSAGE]'];nconst dialogId = item.json.body['data[PARAMS][DIALOG_ID]'];nnconst sessionId = item.json.body['data[PARAMS][CHAT_ENTITY_DATA_1]'].split("|")[5];nnconst botId = Object.keys(item.json.body)n .filter(key => key.startsWith("data[BOT]") && key.endsWith("[BOT_ID]"))n .map(key => $json.body[key])n .shift() || null;nconst userId = item.json.body['data[USER][ID]'];nn// Get auth datanconst auth = {n access_token: item.json.access_token,n domain: item.json.domainn};nnif (message.toLowerCase() === "what's hot") {n return {n json: {n DIALOG_ID: dialogId,n SESSION_ID: sessionId,n BOT_ID: botId,n USER_ID: userId,n MESSAGE_ORI: message,n MESSAGE: "Hi! I am an example-bot.\nI repeat what you say",n AUTH: auth.access_token,n DOMAIN: auth.domainn }n };n} else {n return {n json: {n DIALOG_ID: dialogId,n SESSION_ID: sessionId,n BOT_ID: botId,n USER_ID: userId,n MESSAGE_ORI: message,n MESSAGE: `You said:\n${message}`,n AUTH: auth.access_token,n DOMAIN: auth.domainn }n };n}"},"typeVersion":1},{"id":"06a59835-2999-44b6-81bd-0601e5570113","name":"Process Join","type":"n8n-nodes-base.function","position":[-420,780],"parameters":{"functionCode":"// Process Join Nodenconst items = $input.all();nconst item = items[0];nn// Get dialog ID from the correct pathnconst dialogId = item.json.body['data[PARAMS][DIALOG_ID]'];nn// Get auth datanconst auth = {n access_token: item.json.access_token,n domain: item.json.domainn};nnconst message = n 'ITR Menu:\n' +n '[send=1]1. find out more about me[/send]\n' +n '[send=0]0. wait for operator response[/send]';nnreturn {n json: {n DIALOG_ID: dialogId,n MESSAGE: message,n AUTH: auth.access_token,n DOMAIN: auth.domainn }n};"},"typeVersion":1},{"id":"40accf33-c217-497c-8172-6106eb15800f","name":"Process Install","type":"n8n-nodes-base.function","position":[-420,940],"parameters":{"functionCode":"// Process Install Nodenconst items = $input.all();nconst item = items[0];nn// Get the webhook URL from inputnconst handlerBackUrl = item.json.webhookUrl;nn// Get auth data directly from item.jsonnconst auth = {n access_token: item.json.access_token,n application_token: item.json.application_token,n domain: item.json.domainn};nnreturn {n json: {n handler_back_url: handlerBackUrl,n CODE: 'OpenChanelExampleBot',n TYPE: 'O',n OPENLINE: 'Y',n EVENT_MESSAGE_ADD: handlerBackUrl,n EVENT_WELCOME_MESSAGE: handlerBackUrl,n EVENT_BOT_DELETE: handlerBackUrl,n PROPERTIES: {n NAME: 'Open chanel Bot',n LAST_NAME: 'Example',n COLOR: 'AQUA',n EMAIL: 'no@example.com',n PERSONAL_BIRTHDAY: '2020-07-18',n WORK_POSITION: 'Report on affairs',n PERSONAL_GENDER: 'M'n },n // Use the auth data from item.jsonn AUTH: auth.access_token,n CLIENT_ID: auth.application_token,n DOMAIN: auth.domainn }n};"},"typeVersion":1},{"id":"22a7c363-ab5a-4adc-9de4-268f3f3739f3","name":"Register Bot","type":"n8n-nodes-base.httpRequest","position":[-220,940],"parameters":{"url":"=https://{{ $json.DOMAIN }}/rest/imbot.register?auth={{$json.AUTH}}","method":"POST","options":{},"sendBody":true,"bodyParameters":{"parameters":[{"name":"CODE","value":"OpenChanelExampleBot"},{"name":"TYPE","value":"O"},{"name":"EVENT_MESSAGE_ADD","value":"={{$json.handler_back_url}}"},{"name":"EVENT_WELCOME_MESSAGE","value":"={{$json.handler_back_url}}"},{"name":"EVENT_BOT_DELETE","value":"={{$json.handler_back_url}}"},{"name":"PROPERTIES","value":"={{ {n NAME: 'Bot',n LAST_NAME: 'Example',n COLOR: 'AQUA',n EMAIL: 'no@example.com',n PERSONAL_BIRTHDAY: '2020-07-18',n WORK_POSITION: 'Report on affairs',n PERSONAL_GENDER: 'M'n} }}"},{"name":"CLIENT_ID","value":"={{ $json.CLIENT_ID }}"},{"name":"CLIENT_SECRET","value":"={{ $json.AUTH }}"},{"name":"OPENLINE","value":"Y"}]}},"typeVersion":4.2},{"id":"e728c7eb-b169-4757-b4f4-b99ec4db0184","name":"Send Message","type":"n8n-nodes-base.httpRequest","position":[740,420],"parameters":{"url":"=https://{{ $json.data.DOMAIN }}/rest/imbot.message.add?auth={{ $json.data.AUTH }}","method":"POST","options":{},"sendBody":true,"bodyParameters":{"parameters":[{"name":"DIALOG_ID","value":"={{ $json.data.DIALOG_ID }}"},{"name":"MESSAGE","value":"={{ $json.data.MESSAGE }}"},{"name":"AUTH","value":"={{ $json.data.AUTH }}"}]}},"typeVersion":4.2},{"id":"1a1fae0e-d74f-48b9-8ec8-4e926763de28","name":"Send Join Message","type":"n8n-nodes-base.httpRequest","position":[-220,780],"parameters":{"url":"=https://{{$json.DOMAIN}}/rest/imbot.message.add?auth={{$json.AUTH}}","method":"POST","options":{},"sendBody":true,"bodyParameters":{"parameters":[{"name":"DIALOG_ID","value":"={{ $json.DIALOG_ID }}"},{"name":"MESSAGE","value":"={{ $json.MESSAGE }}"},{"name":"AUTH","value":"={{ $json.AUTH }}"}]}},"typeVersion":4.2},{"id":"f377d8eb-2a90-4ca5-8bd8-122c8df2ced3","name":"Process Delete","type":"n8n-nodes-base.noOp","position":[-420,1100],"parameters":{},"typeVersion":1},{"id":"faa4c61e-faf4-4bd7-b096-706d3c5cf366","name":"Success Response","type":"n8n-nodes-base.respondToWebhook","position":[1200,700],"parameters":{"options":{"responseCode":200},"respondWith":"json","responseBody":"={n "result": truen}"},"typeVersion":1.1},{"id":"ade154b4-64d9-4ecd-8a83-328002c98569","name":"Error Response","type":"n8n-nodes-base.respondToWebhook","position":[-820,780],"parameters":{"options":{"responseCode":401},"respondWith":"json","responseBody":"={{n "result": false,n "error": "Invalid application token"n}}"},"typeVersion":1.1},{"id":"a5866396-3a25-4bbf-81b2-56a8d35fc63b","name":"Merge parameters for Subworkflow","type":"n8n-nodes-base.merge","position":[-180,1340],"parameters":{"mode":"combine","options":{},"combineBy":"combineAll"},"typeVersion":3},{"id":"feb3e1c0-4556-4d77-9e5e-42eb2c10a5f8","name":"Get a list of available storages","type":"n8n-nodes-base.httpRequest","position":[-860,2080],"parameters":{"url":"=https://{{ $json.domain }}/rest/disk.storage.getlist.json?auth={{ $json.access_token }}","method":"POST","options":{},"jsonBody":"={n"filter": {ntttt"ENTITY_TYPE": "common",ntttt"%NAME": "{{ $json.storageName }}"n }n}n","sendBody":true,"specifyBody":"json"},"typeVersion":4.2},{"id":"7bb0412e-57ab-4a63-aec2-5db64b83ef7e","name":"Get a list of List of Files and Folders","type":"n8n-nodes-base.httpRequest","position":[-640,2080],"parameters":{"url":"=https://{{ $('Execute Workflow Trigger').item.json.domain }}/rest/disk.storage.getchildren.json?auth={{ $('Execute Workflow Trigger').item.json.access_token }}","method":"POST","options":{},"jsonBody":"={n"id": {{ $json.result[0].ID }},n"filter": {ntttt"TYPE": "folder",ntttt"%NAME": "{{ $('Execute Workflow Trigger').item.json.folderName }}"n }n}n","sendBody":true,"specifyBody":"json"},"typeVersion":4.2},{"id":"5528a3be-375a-4077-a346-2eb77cf9160f","name":"Get a list of Folders files","type":"n8n-nodes-base.httpRequest","position":[-420,2080],"parameters":{"url":"=https://{{ $('Execute Workflow Trigger').item.json.domain }}/rest/disk.folder.getchildren.json?auth={{ $('Execute Workflow Trigger').item.json.access_token }}","method":"POST","options":{},"sendBody":true,"bodyParameters":{"parameters":[{"name":"id","value":"={{ $json.result[0].ID }}"}]}},"typeVersion":4.2},{"id":"f713eda1-f51e-484d-a98a-f359bc7ce654","name":"Download file","type":"n8n-nodes-base.httpRequest","position":[280,2080],"parameters":{"url":"={{ $json.DOWNLOAD_URL }}","options":{}},"typeVersion":4.2},{"id":"3b2c67ea-bb6c-49c8-b55f-ffde7d1d8e83","name":"Default Data Loader","type":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","position":[700,2280],"parameters":{"loader":"pdfLoader","options":{"splitPages":true},"dataType":"binary"},"typeVersion":1},{"id":"0b5c2963-3692-469d-a1ce-66fe598dc25f","name":"Recursive Character Text Splitter","type":"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","position":[840,2460],"parameters":{"options":{},"chunkOverlap":100},"typeVersion":1},{"id":"52bfdf6b-0fb1-4e85-b31d-ec6c9ef912d8","name":"Split Out folder files and folders","type":"n8n-nodes-base.splitOut","position":[-180,2080],"parameters":{"options":{},"fieldToSplitOut":"result"},"typeVersion":1},{"id":"fd53fca7-d11d-4254-be56-9a62b6f0fadf","name":"Filter for 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}}"}]}},"executeOnce":false,"typeVersion":4.2},{"id":"47f3aec5-c3cb-4d3e-97bc-8b708ccc0db5","name":"Execute Workflow Trigger","type":"n8n-nodes-base.executeWorkflowTrigger","position":[-1080,2080],"parameters":{},"typeVersion":1},{"id":"9d3eb788-96cf-4c01-af5f-2beb1f6fa7b8","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-1160,1780],"parameters":{"width":2168.7691983135305,"height":818.1434255918864,"content":"Subworkflow for Register BotnHere are files vector stored for Open line chanel botnAfter files are stored they are moved to subfolder"},"typeVersion":1},{"id":"91c26264-a61d-426c-a044-e2b287e54de0","name":"Qdrant Vector Store","type":"@n8n/n8n-nodes-langchain.vectorStoreQdrant","position":[580,2080],"parameters":{"mode":"insert","options":{"collectionConfig":""},"qdrantCollection":{"__rl":true,"mode":"list","value":"bitrix-docs","cachedResultName":"bitrix-docs"}},"typeVersion":1},{"id":"0dd69952-402e-4d9e-a44f-7cf96ab4055e","name":"Embeddings Ollama","type":"@n8n/n8n-nodes-langchain.embeddingsOllama","position":[500,2280],"parameters":{"model":"nomic-embed-text:latest"},"typeVersion":1},{"id":"fcfbfe53-da04-48f2-9a62-204a8f1f06a8","name":"Vector Store Retriever","type":"@n8n/n8n-nodes-langchain.retrieverVectorStore","position":[140,240],"parameters":{"topK":10},"typeVersion":1},{"id":"22d3be40-b74a-453f-8f52-8974b1527d49","name":"Question and Answer Chain","type":"@n8n/n8n-nodes-langchain.chainRetrievalQa","position":[0,0],"parameters":{"text":"={{ $json.MESSAGE_ORI }}","options":{"systemPromptTemplate":"=Use the following pieces of context to answer the user's question.nIf you don't know the answer, just say that you don't know, don't try to make up an answer.nn----------------n{context}nnYour response must contain **only** the following key-value pairs:n- `"DIALOG_ID"`: **Use exactly** this value from the input: `{{ $json.DIALOG_ID }}`n- `"AUTH"`: **Use exactly** this value from the input: `{{ $json.AUTH }}`n- `"DOMAIN"`: **Use exactly** this value from the input: `{{ $json.DOMAIN }}`n- `"MESSAGE"`: **Your AI-generated response**, based on the conversation history and the user's input.nn**Do not modify** the values of `"DIALOG_ID"`, `"AUTH"`, or `"DOMAIN"`. They must remain exactly as received from the input. nThe `"MESSAGE"` field must contain a relevant and clear response.nnIf the user asks **"find out more about me"**, respond with: n*"I am a Retrieval-Augmented Generation (RAG) system that answers questions based on uploaded documents and provided context."*"},"promptType":"define"},"typeVersion":1.4},{"id":"fb19f0b5-72cb-4ccd-ac0e-75ea3a32c9cc","name":"Prepare output parameters","type":"n8n-nodes-base.set","position":[440,60],"parameters":{"options":{},"assignments":{"assignments":[{"id":"ef09b5f8-2111-4731-8317-e338885a10c3","name":"data","type":"object","value":"={{ $json.response.text.removeMarkdown().replace(/`+$/, '')}}"}]}},"typeVersion":3.4},{"id":"52429ac1-d738-49d7-81a8-725df6587312","name":"Embeddings Ollama1","type":"@n8n/n8n-nodes-langchain.embeddingsOllama","position":[360,600],"parameters":{"model":"nomic-embed-text:latest"},"typeVersion":1},{"id":"bade110b-d252-4633-9ecf-44a42772b8d5","name":"Google Gemini Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[-60,300],"parameters":{"options":{},"modelName":"models/gemini-2.0-flash"},"typeVersion":1},{"id":"41eb5179-6195-485b-848b-46bb997de38e","name":"Qdrant Vector Store1","type":"@n8n/n8n-nodes-langchain.vectorStoreQdrant","position":[160,420],"parameters":{"options":{},"qdrantCollection":{"__rl":true,"mode":"list","value":"bitrix-docs","cachedResultName":"bitrix-docs"}},"typeVersion":1},{"id":"484cbc38-4c6f-4d3d-9409-b04df2c7e102","name":"Execute subworkflow","type":"n8n-nodes-base.executeWorkflow","position":[200,1340],"parameters":{"options":{},"workflowId":{"__rl":true,"mode":"id","value":"={{ $workflow.id }}"}},"typeVersion":1.1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"e3e24337-997c-4ce2-b8c1-3e6f8b9eb85c","connections":{"Credentials":{"main":[[{"node":"Validate Token","type":"main","index":0},{"node":"Merge parameters for Subworkflow","type":"main","index":1}]]},"Route Event":{"main":[[{"node":"Process Message","type":"main","index":0}],[{"node":"Process Join","type":"main","index":0}],[{"node":"Process Install","type":"main","index":0}],[{"node":"Process Delete","type":"main","index":0}]]},"Process Join":{"main":[[{"node":"Send Join Message","type":"main","index":0}]]},"Register Bot":{"main":[[{"node":"Success Response","type":"main","index":0},{"node":"Merge parameters for Subworkflow","type":"main","index":0}]]},"Send Message":{"main":[[{"node":"Success Response","type":"main","index":0}]]},"Download file":{"main":[[{"node":"Move files to Vector stored folder","type":"main","index":0},{"node":"Qdrant Vector Store","type":"main","index":0}]]},"Process Delete":{"main":[[{"node":"Success Response","type":"main","index":0}]]},"Validate Token":{"main":[[{"node":"Route Event","type":"main","index":0}],[{"node":"Error Response","type":"main","index":0}]]},"Process Install":{"main":[[{"node":"Register Bot","type":"main","index":0}]]},"Process Message":{"main":[[{"node":"Question and Answer Chain","type":"main","index":0}]]},"Bitrix24 Handler":{"main":[[{"node":"Credentials","type":"main","index":0}]]},"Filter for files":{"main":[[{"node":"Download file","type":"main","index":0}]]},"Embeddings Ollama":{"ai_embedding":[[{"node":"Qdrant Vector Store","type":"ai_embedding","index":0}]]},"Send Join Message":{"main":[[{"node":"Success Response","type":"main","index":0}]]},"Embeddings Ollama1":{"ai_embedding":[[{"node":"Qdrant Vector Store1","type":"ai_embedding","index":0}]]},"Default Data Loader":{"ai_document":[[{"node":"Qdrant Vector Store","type":"ai_document","index":0}]]},"Execute subworkflow":{"main":[[{"node":"Success Response","type":"main","index":0}]]},"Qdrant Vector Store1":{"ai_vectorStore":[[{"node":"Vector Store Retriever","type":"ai_vectorStore","index":0}]]},"Vector Store Retriever":{"ai_retriever":[[{"node":"Question and Answer Chain","type":"ai_retriever","index":0}]]},"Execute Workflow Trigger":{"main":[[{"node":"Get a list of available storages","type":"main","index":0}]]},"Google Gemini Chat Model":{"ai_languageModel":[[{"node":"Question and Answer Chain","type":"ai_languageModel","index":0}]]},"Prepare output parameters":{"main":[[{"node":"Send Message","type":"main","index":0}]]},"Question and Answer Chain":{"main":[[{"node":"Prepare output parameters","type":"main","index":0}]]},"Get a list of Folders files":{"main":[[{"node":"Split Out folder files and folders","type":"main","index":0}]]},"Get a list of available storages":{"main":[[{"node":"Get a list of List of Files and Folders","type":"main","index":0}]]},"Merge parameters for Subworkflow":{"main":[[{"node":"Execute subworkflow","type":"main","index":0}]]},"Recursive Character Text Splitter":{"ai_textSplitter":[[{"node":"Default Data Loader","type":"ai_textSplitter","index":0}]]},"Split Out folder files and folders":{"main":[[{"node":"Filter for files","type":"main","index":0}]]},"Get a list of List of Files and Folders":{"main":[[{"node":"Get a list of Folders files","type":"main","index":0}]]}}}
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