---
title: "Under the Hood: Collections of Similar Articles"
url: https://daily.dev/posts/under-the-hood-collections-of-similar-articles-egt20mvzd
source_url: https://daily.dev/blog/under-the-hood-collections-of-similar-articles
type: article
source: "daily.dev"
published: 2024-04-25T13:28:19.357Z
updated: 2024-07-02T02:12:54.322Z
tags: ["embeddings", "machine-learning", "pgvector", "redis"]
reading_time: 5
upvotes: 6
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Under the Hood: Collections of Similar Articles

**[daily.dev](https://daily.dev/sources/daily)** · 5 min read · 6 upvotes · 0 comments

## Summary

This post explores the challenges and solutions of implementing 'collections' at daily.dev, focusing on content similarity detection using machine learning and vector embeddings. It discusses the technologies used, such as Redis and pgvector, and the process of creating and updating collections. The post also addresses the challenges of distributed content processing and the benefits of using embeddings.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://daily.dev/blog/under-the-hood-collections-of-similar-articles>

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---

Tags: [#embeddings](https://daily.dev/tags/embeddings), [#machine-learning](https://daily.dev/tags/machine-learning), [#pgvector](https://daily.dev/tags/pgvector), [#redis](https://daily.dev/tags/redis)

[View this post on daily.dev](https://daily.dev/posts/under-the-hood-collections-of-similar-articles-egt20mvzd)
