Local chatbot with retrieval augmented generation (RAG)

Name: Local chatbot with retrieval augmented generation (RAG)
Availability: InStock
Rating: 4.5 (9454 reviews)
Author: Thomas Janssen

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Build a 100% local RAG with n8n, Ollama and Qdrant. This agent uses a semantic database (Qdrant) to answer questions about PDF files.

Tutorial

Click here to view the YouTube Tutorial

How it works

Build a chatbot that answers based on documents you provide it (Retrieval Augmented Generation). You can upload as many PDF files as you want to the Qdrant database. The chatbot will use its retrieval tool to fetch the chunks and use them to answer questions.

Installation

Install n8n + Ollama + Qdrant using the Self-hosted AI starter kit
Make sure to install Llama 3.2 and mxbai-embed-large as embeddings model.

How to use it

First run the "Data Ingestion" part and upload as many PDF files as you want
Run the Chatbot and start asking questions about the documents you uploaded

Thomas Janssen

0 workflows

Nodes

set gmail telegram agent google-gemini

Complexity

intermediate

Published 23 Jun 2025

Likes 0

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