Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI
An n8n workflow to build a movie recommendation chatbot using GitHub-hosted IMDB movie data, OpenAI embeddings and GPT-4o-mini chat model, and Qdrant vector database for vector similarity search. It processes user requests, embeds them, queries Qdrant, and returns top-3 personalized movie recommendations.
One-time purchase
Similar automations
Sales Assistant Build
This comprehensive workflow by Nolan Harper uses n8n to deliver a 24/7 AI sales assistant tailored for automating lead capture and personalized follow-up. The...
Publish to 9 Social Platforms
This system is an automated workflow that reads content details from a Google Sheet, extracts media from Google Drive, and uses API calls to a dedicated social...
Parent Agent
This workflow demonstrates a multi-agent architecture where a parent agent communicates with child agents to perform tasks like story generation. It details...