---
title: "Running my Medium blog post as embedding regarding my job hunting resume build up"
url: https://daily.dev/posts/running-my-medium-blog-post-as-embedding-regarding-my-job-hunting-resume-build-up-zmvobiasg
source_url: https://faun.pub/running-my-medium-blog-post-as-embedding-regarding-my-job-hunting-resume-build-up-b26d84180bc6
type: article
source: "Faun"
published: 2026-04-30T09:34:15.783Z
updated: 2026-04-30T09:34:39.257Z
tags: ["llm", "rag", "google-gemini", "embeddings"]
reading_time: 4
upvotes: 2
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.

# Running my Medium blog post as embedding regarding my job hunting resume build up

**[Faun](https://daily.dev/sources/faun)** · 4 min read · 2 upvotes · 0 comments

## Summary

A developer explores using text and visual embeddings of their Medium blog posts to build a resume reference system for job hunting. Two embedding approaches are compared: extracting raw HTML text and using Gemma-4 31B to generate visual summaries from browser-rendered page images, then passing both through Gemini Embedding v2. UMAP visualization and cosine similarity analysis reveal the two approaches produce noticeably different distributions (similarity range 0.58–0.83), with shorter articles showing closer agreement. The author hypothesizes that lossy summarization of long articles, ignored code snippets, and distracting images contribute to the divergence, and concludes that a more sophisticated index-query pipeline may be needed.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://faun.pub/running-my-medium-blog-post-as-embedding-regarding-my-job-hunting-resume-build-up-b26d84180bc6>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#google-gemini](https://daily.dev/tags/google-gemini), [#embeddings](https://daily.dev/tags/embeddings)

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