Automate Your RFP Process with OpenAI Assistants — n8n 워크플로
개요
This n8n workflow demonstrates how to automate oftern time-consuming form filling tasks in the early stages of the tendering process; the Request for Proposal document or "RFP".
It does this by utilising a company's knowledgebase to generating question-and-answer pairs using Large Language Models.
How it works A buyer's RFP is submitted to the workflow as a digital document that can be parsed. Our first AI agent scans and extracts all questions from the document into list form. The supplier se
사용된 노드
워크플로 미리보기
작동 원리
- 1
트리거
워크플로는 webhook 트리거로 시작합니다.
- 2
처리
데이터가 13개의 노드를 통해 흐릅니다, connecting chainllm, extractfromfile, gmail.
- 3
출력
워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.
노드 세부 정보 (13)
Slack
slack
Gmail
gmail
Google Docs
googleDocs
Basic LLM Chain
n8n-nodes-langchain.chainLlm
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Item List Output Parser
n8n-nodes-langchain.outputParserItemList
OpenAI
n8n-nodes-langchain.openAi
이 워크플로 가져오는 방법
- 1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
- 2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
- 3다운로드된
automate-your-rfp-process-with-openai-assistants파일을 선택하고 가져오기를 클릭합니다. - 4각 서비스 노드에 대한 자격 증명（API 키, OAuth 등）을 설정합니다.
- 5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.
또는 n8n → JSON에서 가져오기에 직접 붙여넣기:
통합
제작자
Jimleuk
@jimleuk
태그
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