Local document question answering with Ollama AI, Agentic RAG & PGVector

About This Workflow

What This Workflow Does

This template provides a local implementation of an Agentic RAG (Retrieval Augmented Generation) system, which enables question answering using Ollama AI, Agentic RAG, and PGVector on a local machine. It allows users to generate answers to questions based on local documents. The workflow utilizes n8n automation to integrate and manage the AI components.

Who Should Use This

Developers, data analysts, and business owners looking to implement a local AI-powered question answering system for their internal knowledge management or document analysis purposes.

Key Features

• Local AI Question Answering: Provides a local implementation of an Agentic RAG system for question answering based on Ollama AI, Agentic RAG, and PGVector.
• Document Retrieval: Retrieves relevant documents from the local system to generate answers to user questions.
• Customization: Allows users to customize the workflow by modifying the document repository and AI settings.
• Offline Support: Enables question answering even without an internet connection, as all AI components are locally installed.

How to Get Started

To start using this workflow, import it into your n8n account and customize the document repository and AI settings according to your local system configuration.