Build Your First AI Data Analyst Chatbot — Workflow n8n
Przegląd
Enhance your data analysis by connecting an AI Agent to your dataset, using n8n tools.
This template teaches you how to build an AI Data Analyst Chatbot that is capable of pulling data from your sources, using tools like Google Sheets or databases. It's designed to be easy and efficient, making it a good starting point for AI-driven data analysis.
You can easily replace the current Google Sheets tools for databases like Postgres or MySQL.
How It Works The core of the workflow is the AI Agent.
Użyte węzły
Podgląd workflow
Jak to działa
- 1
Wyzwalacz
Workflow uruchamia się wyzwalaczem wyzwalacz.
- 2
Przetwarzanie
Dane przepływają przez 14 węzłów, connecting agent, aggregate, chattrigger.
- 3
Wyjście
Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.
Szczegóły węzłów (14)
HTTP Request
httpRequest
Code
code
AI Agent
n8n-nodes-langchain.agent
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Simple Memory
n8n-nodes-langchain.memoryBufferWindow
Calculator
n8n-nodes-langchain.toolCalculator
Call n8n Workflow Tool
n8n-nodes-langchain.toolWorkflow
Jak zaimportować ten workflow
- 1Kliknij przycisk Pobierz JSON po prawej stronie, aby zapisać plik workflow.
- 2Otwórz swoją instancję n8n. Przejdź do Workflow → Nowy → Importuj z pliku.
- 3Wybierz pobrany plik
build-your-first-ai-data-analyst-chatboti kliknij Importuj. - 4Skonfiguruj dane uwierzytelniające dla każdego węzła usługi (klucze API, OAuth itp.).
- 5Kliknij Testuj workflow, aby sprawdzić, czy wszystko działa, a następnie aktywuj go.
Lub wklej bezpośrednio w n8n → Importuj z JSON:
Integracje
Autor
Solomon
@solomon
Tagi
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