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RAG Movie Recommendation Chatbot with Qdrant and OpenAI

Development teams that want a worked example of a recommendation chatbot grounded in a vector database.

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building-rag-chatbot-for-movie-recommendations-with-qdrant-and-open-ai.json

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What it does

An n8n template that loads a movie dataset into a Qdrant vector store using OpenAI embeddings. A chat agent calls a workflow that uses the Qdrant Recommendation API, so you can describe what you want and what you want to avoid and receive three suggestions.

Use cases

  1. 01Recommend items from examples you like and dislike
  2. 02Learn how Qdrant recommendations work with n8n
  3. 03Prototype a catalog chatbot on your own dataset

Connects

GitHub · HTTP Request · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory · Token Splitter · Call n8n Workflow Tool · Default Data Loader · Qdrant Vector Store

Questions about
RAG Movie Recommendation Chatbot with Qdrant and OpenAI.

What is RAG Movie Recommendation Chatbot with Qdrant and OpenAI used for?

Development teams that want a worked example of a recommendation chatbot grounded in a vector database. An n8n template that loads a movie dataset into a Qdrant vector store using OpenAI embeddings. A chat agent calls a workflow that uses the Qdrant Recommendation API, so you can describe what you want and what you want to avoid and receive three suggestions.

How do I import RAG Movie Recommendation Chatbot with Qdrant and OpenAI into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is RAG Movie Recommendation Chatbot with Qdrant and OpenAI safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.

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