Community Insights using Qdrant, Python and Information Extractor

n8n template #2374

Summary

This n8n template is one of a 3-part series exploring use-cases for clustering vector embeddings: Survey Insights Customer Insights Community Insights This template demonstrates the Community Insights scenario where HN commments can be quickly grouped by similarity and an AI agent can generate insights on those groupings. With this workflow, Researchers or HN users can quickly breakdown community consensus on a particular topic and identify frequently mentioned positives and negatives. Sample Output: https://docs.google.com/spreadsheets/d/e/2PACX-1vQXaQU9XxsxnUIIeqmmf1PuYRuYtwviVXTv6Mz9Vo6a4ty-XaJHSeZsptjWXS3wGGDG8Z4u16rvE7l/pubhtml How it works HN comments are imported via the Hacknews API

How to set it up

Open template #2374 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
Create 5 credentials under Credentials → Add credential: Google Sheets, Hacker News, Embeddings OpenAI, OpenAI Chat Model, Qdrant Vector Store. Then open each of those nodes and pick the credential.
Check the model in the OpenAI Chat Model node. The template may point at a model your account can't use; swap it for one you have access to.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "Community Insights using Qdrant, Python and Information Extractor" (https://n8n.io/workflows/2374). It uses: Google Sheets, HTTP Request, Hacker News, Code, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter, Default Data Loader, Qdrant Vector Store. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

Google Sheets HTTP RequestHacker NewsCode Embeddings OpenAI OpenAI Chat Model Recursive Character Text Splitter Default Data Loader Qdrant Vector Store

Questions

Yes. Jimleuk published it free on n8n.io as a verified creator, and it has 18K views. It runs on n8n Cloud or a self-hosted n8n instance.

Google Sheets, Hacker News, Embeddings OpenAI, OpenAI Chat Model, Qdrant Vector Store. The other 4 nodes are built into n8n.

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