Mit Dokumenten via RAG chatten: von Google Drive zu GPT-5, mit Supabase-Vektordatenbank
Experte
Dies ist ein Internal Wiki, Multimodal AI-Bereich Automatisierungsworkflow mit 30 Nodes. Hauptsächlich werden Set, Gmail, Slack, SplitOut, Telegram und andere Nodes verwendet. Mit Dokumenten durch RAG sprechen: von Google Drive zu GPT-5 mit Supabase-Vektordatenbank
Voraussetzungen
- •Google-Konto + Gmail API-Anmeldedaten
- •Slack Bot Token oder Webhook URL
- •Telegram Bot Token
- •Google Drive API-Anmeldedaten
- •OpenAI API Key
- •PostgreSQL-Datenbankverbindungsdaten
- •Supabase URL und API Key
Verwendete Nodes (30)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
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}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Internes Wiki, Multimodales KI
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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Schwierigkeitsgrad
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Anzahl der Nodes30
Kategorie2
Node-Typen22
Autor
Paul
@diagoplAutomation expert & n8n power user. I build advanced workflows combining AI, outbound, and business logic. Grab my templates or reach out for custom builds.
Externe Links
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