Private Document Q&A with Llama3, Postgres, Qdrant & Google Drive - n8n Workflow | Neura Market
Private Document Q&A with Llama3, Postgres, Qdrant & Google Drive
Self-hosted RAG AI system that monitors Google Drive docs, embeds with local Llama3 via Ollama, stores in Qdrant, and enables private Q&A chats with Postgres history.
LocalRAG.AI is a fully private, on-premises AI assistant designed for handling confidential documents. It automatically monitors specified Google Drive folders for new or updated files, downloads them, extracts text content, and generates embeddings using a local Ollama instance running Llama3. These embeddings are then stored in Qdrant, a local vector database, enabling efficient semantic search.
During interactions via a webhook or chat trigger, the system performs vector similarity search in
Platform
n8n
Category
Social Media
Price
$24.99
Creator
QualityWorkflows
RAG
Llama3
Ollama
Qdrant
Postgres
Google Drive
AI Chatbot
Document Q&A
Self-Hosted
Vector Database
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.