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
- Jonas Sato
- 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.
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