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Customer Insights with Qdrant and Python

Marketing and customer teams that want to find the most common praise and complaints across many reviews.

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customer-insights-with-qdrant-python-and-information-extractor.json

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What it does

This n8n workflow collects Trustpilot reviews for a company with an HTTP request and stores them in a Qdrant vector collection, tagged with metadata. A Python step groups similar reviews by clustering, and an AI agent writes insights for each group. The insights and the raw reviews are saved to a Google Spreadsheet for analysis.

Use cases

  1. 01Group your own reviews by the topics customers repeat
  2. 02Review the recurring complaints about a competitor's brand
  3. 03Share a spreadsheet of review themes with the product team

Connects

Google Sheets · HTTP Request · Code · HTML · Embeddings OpenAI · OpenAI Chat Model · Recursive Character Text Splitter · Default Data Loader · Qdrant Vector Store

Questions about
Customer Insights with Qdrant and Python.

What is Customer Insights with Qdrant and Python used for?

Marketing and customer teams that want to find the most common praise and complaints across many reviews. This n8n workflow collects Trustpilot reviews for a company with an HTTP request and stores them in a Qdrant vector collection, tagged with metadata. A Python step groups similar reviews by clustering, and an AI agent writes insights for each group. The insights and the raw reviews are saved to a Google Spreadsheet for analysis.

How do I import Customer Insights with Qdrant and Python 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 Customer Insights with Qdrant and Python 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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