AutomationFlows › AI & RAG › Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI (github)

Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI (github)

ByJenny @mrscoopers✓ on n8n.io

Create a recommendation tool without hallucinations based on RAG with the Qdrant Vector database. This example is based on movie recommendations on the IMDB-top1000 dataset. You can provide your wishes and your "big no's" to the chatbot, for example: "A movie about wizards but…

Event trigger★★★★☆ complexityAI-powered27 nodesGitHubOpenAI EmbeddingsDocument Default Data LoaderText Splitter Token SplitterQdrant Vector StoreChat TriggerOpenAI ChatTool Workflow
AI & RAG Trigger: Event Nodes: 27 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #2440 — we link there as the canonical source.

This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.

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About this workflow

    
Create a recommendation tool without hallucinations based on RAG with the Qdrant Vector database. This example is based on movie recommendations on the IMDB-top1000 dataset. You can provide your wishes and your "big no's" to the chatbot, for example: "A movie about wizards but…

    
Source: https://n8n.io/workflows/2440/ — original creator credit. Request a take-down →

    
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