Ten szablon automatyzacji jest zaprojektowany do obsługi przychodzących wiadomości e-mail, podsumowywania ich treści, generowania odpowiedzi oraz uzyskiwania zatwierdzenia przed wysłaniem odpowiedzi. Poniżej przedstawiono kluczowe etapy działania:
Aby odtworzyć ten przepływ pracy w swoim środowisku n8n, wykonaj następujące kroki konfiguracyjne:
Ta automatyzacja może być wykorzystana w różnych scenariuszach biznesowych, zwiększając efektywność i jakość komunikacji. Oto kilka potencjalnych zastosowań:
where necessary."},"promptType":"define","hasOutputParser":true},"typeVersion":1.7},{"id":"cf38e319-59b3-490e-b841-579afc9fbc02","name":"OpenAI","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[980,200],"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4o-mini","cachedResultName":"gpt-4o-mini"},"options":{}},"credentials":{"openAiApi":{"id":"CDX6QM4gLYanh0P4","name":"OpenAi account"}},"typeVersion":1.2},{"id":"19842e5f-c372-4dfd-b860-87dc5f00b1af","name":"Set Email","type":"n8n-nodes-base.set","position":[760,-100],"parameters":{"options":{},"assignments":{"assignments":[{"id":"759dc0f9-f582-492c-896c-6426f8410127","name":"email","type":"string","value":"={{ $json.response.text }}"}]}},"typeVersion":3.4},{"id":"2cf7a9af-c5e8-45dd-bda5-01c562a0defb","name":"Approve?","type":"n8n-nodes-base.if","position":[1560,-100],"parameters":{"options":{"ignoreCase":false},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"5c377c1c-43c6-45e7-904e-dbbe6b682686","operator":{"type":"boolean","operation":"true","singleValue":true},"leftValue":"={{ $json.data.approved }}","rightValue":"true"}]}},"typeVersion":2.2},{"id":"08cabec6-9840-4214-8315-b877c86794bf","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-220,-680],"parameters":{"color":3,"width":580,"height":420,"content":"# Main Flownn## Preliminary step:nCreate a vector database on Qdrant and tokenize the documents useful for generating a responsennn## How it worksnThis workflow is designed to automate the process of handling incoming emails, summarizing their content, generating appropriate responses with RAG, and obtaining approval (YES/NO button) before sending replies.nnThis workflow is designed to handle general inquiries that come in via corporate email via IMAP and generate responses using RAG. You can quickly integrate Gmail and Outlook via the appropriate trigger nodes"},"typeVersion":1},{"id":"80692c8f-e236-43ac-aad2-91bd90f40065","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-40,-180],"parameters":{"height":240,"content":"Convert email to Markdown format for better understanding of LLM models"},"typeVersion":1},{"id":"e6957fde-bf05-4b67-aa0e-44c575fca04d","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[240,-180],"parameters":{"width":320,"height":240,"content":"Chain that summarizes the received email"},"typeVersion":1},{"id":"7cfba59f-83ce-4f0b-b54a-b2c11d58fd82","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[940,-180],"parameters":{"width":340,"height":240,"content":"Agent that retrieves business information from a vector database and processes the response"},"typeVersion":1},{"id":"28c4bd00-6a47-422f-a50a-935f3724ba01","name":"Send Draft","type":"n8n-nodes-base.gmail","position":[1340,-100],"webhookId":"d6dd2e7c-90ea-4b65-9c64-523d2541a054","parameters":{"sendTo":"YOUR GMAIL ADDRESS","message":"=