Build Your Own RAG Chatbot for Movie Recommendations Using Qdrant and OpenAI
This workflow enables users to create a chatbot that recommends movies using Qdrant and OpenAI's powerful embeddings.
The 'Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI' workflow is designed to help users develop an interactive chatbot that provides personalized movie recommendations. By leveraging the capabilities of Qdrant for efficient vector storage and OpenAI's state-of-the-art language model, this workflow transforms traditional movie recommendation systems into an engaging conversational experience.
Initially, the workflow fetches a curated list of the top 1000 movies from a Gi
- Platform
- n8n
- Category
- Finance
- Price
- $5.98
- Creator
- Priya Nasser
- movieRecommendations
- ragChatbot
- openai
- qdrant
- workflowAutomation
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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