RAG Chatbot for Movie Recommendations with Qdrant & OpenAI

Build a hallucination-free RAG-based movie recommendation chatbot using Qdrant vector DB, OpenAI embeddings, and IMDB top-1000 dataset for personalized top-3 recs.

This workflow creates a sophisticated recommendation system powered by Retrieval-Augmented Generation (RAG) to deliver accurate, hallucination-free movie suggestions. It leverages the IMDB top-1000 dataset, embedding movie descriptions with OpenAI models into a Qdrant vector database. Users interact via a chat interface with an AI agent that interprets wishes and 'big no's' (e.g., 'A movie about wizards but not Harry Potter'), triggering a workflow to fetch top-3 recommendations using Qdrant's R
Platform
n8n
Category
File & Document Management
Price
$24.99
Creator
Kiran Sultan

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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