I've been playing around with clustering text embeddings to find similar groups of things.<p>Grouping similar things is useful because:<p><pre><code> \* For your user surveys, quickly find similar answers to group participants and find personas
\* For your reviews, quickly group customers who have similar complaints to spot issues early
\* For community comments, figure what the heck everyone else is saying before adding your own informed opinion
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I built 3 demos as n8n workflow templates which show you how to do this:<p><pre><code> (1) https://n8n.io/workflows/2372-survey-insights-with-qdrant-python-and-information-extractor/
(2) https://n8n.io/workflows/2373-customer-insights-with-qdrant-python-and-information-extractor/
(3) https://n8n.io/workflows/2374-community-insights-using-qdrant-python-and-information-extractor/
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I had a lot of fun building these use-cases and I hope you find them useful. Let me know what you think!<p>Jim Le
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