Business ProcessPro — €97
RAG System for Querying Documents in Google Drive
98/100
16 NodesBeschreibung
Implementiert ein RAG-System, um intelligente Abfragen auf Dokumenten durchzuführen, die in Google Drive gespeichert sind.
Setup-Anleitung
## Set up steps 1. Google Cloud Project and Vertex AI API: * Create a Google Cloud project. * Enable the Vertex AI API for your project. 2. Google AI API Key: * Obtain a Google AI API key from Google AI Studio. 3. Pinecone Account: * Create a free account on the Pinecone website. Obtain your API key from your Pinecone dashboard. * Create an index named company-files in your Pinecone project. 4. Google Drive: * Create a dedicated folder in your Google Drive where company documents will be stored. 5. Credentials in n8n: Configure credentials in your n8n environment for: * Google Drive OAuth2 * Google Gemini(PaLM) Api (using your Google AI API key) * Pinecone API (using your Pinecone API key) 5. Import the Workflow: * Import this workflow into your n8n instance. 6. Configure the Workflow: * Update both Google Drive Trigger nodes to watch the specific folder you created in your Google Drive. * Configure the Pinecone Vector Store nodes to use your company-files index.
Benötigte Integrationen (2)
Google API
Google Drive
Stop And Error
StopAndError
Workflow freischalten
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