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Ask anything, get answers from your Google Drive.
AI-Powered RAG Workflow for n8n Overview
Unlock the power of your documents with this RAG (Retrieval-Augmented Generation) Pipeline seamlessly integrated with Google Drive. This workflow transforms your stored files into an AI-powered knowledge assistant, enabling you to ask natural language questions and receive accurate, context-aware answers instantly.
No more manually searching through folders – simply connect your Google Drive, and let the pipeline handle retrieval, embedding, and intelligent responses.
✅ Key Features
Google Drive integration – use your own files as knowledge base
AI-powered answers with context from your documents
Pinecone vector database for efficient and scalable retrieval
Fully automated n8n workflow – no coding required
AI-Powered RAG Workflow for n8n Key Features
Google Drive Integration
Seamlessly connect to Google Drive and use your own files (PDFs, Docs, Notes) as knowledge sources.
Retrieval-Augmented Generation (RAG)
Enhances LLM responses by retrieving the most relevant information from your personal or team documents.
n8n Workflow Automation
Built on n8n, making it fully customizable and easy to extend with other apps/APIs.
Pinecone Vector Database
Stores document embeddings for fast and scalable semantic search.
OpenAI-powered Responses
Uses GPT models for accurate, context-aware answers.
Custom Prompting
Easily modify system prompts
AI-Powered RAG Workflow for n8n Use Cases
Student/Research Tool – Summarize, search, and explain study material instantly.
Professional Document Search – Quickly retrieve insights from reports, contracts, and proposals.
Team Knowledge Base – Centralize company docs for smarter team Q&A.
Business Intelligence – Query financial data, project files, and presentations directly.
Legal/Policy Support – Extract key points from lengthy legal or compliance documents.
Healthcare/Research – Retrieve medical literature or case studies for evidence-based insights.
📰 Content Creation – Generate blogs, summaries, or FAQ
Pricing
Paid
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