SkillTrendLab
Skill · LLM applications · Framework, LLM and domain signals

RAG

Retrieval-augmented generation, grounding a language model in retrieved documents.

18.9%
of core AI postings mention it
664
postings
448
companies

History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.

Where it is mentioned most

Each row divides by that role's postings in this edition, highest share first.

Reading this edition

Postings in 10 role families mention RAG in this edition.

In 2 of the 8 role families with a page of their own, at least one posting in five mentions RAG: LLM / NLP Engineer 53.7%, AI Engineer 24.6%.

RAG is more concentrated in LLM / NLP Engineer postings (53.7%) than across all core AI postings (18.9%): at least twice the overall share.

RAG is in LLM applications: a framework, LLM or domain signal. Read it together with the foundation and production skills that appear with it below.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

  1. 94 of 175 postings · at least twice overall
  2. 429 of 1,741 postings
  3. MLOps / Platform Engineer23.7%
    9 of 38 postings · Sample below the page threshold; not read
  4. AI Researcher21.7%
    13 of 60 postings · Sample below the page threshold; not read
  5. 28 of 151 postings
  6. 32 of 305 postings
  7. 6 of 225 postings
  8. 7 of 321 postings
  9. 1 of 113 postings
  10. 1 of 123 postings

Skills that appear with it

Each share divides by the postings that mention RAG: how many of them also mention each skill, grouped into three lenses.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python78.6%
    Languages · 522 postings
  2. Methods and process · 342 postings
  3. Databases · 247 postings
  4. Methods and process · 218 postings
  5. Machine learning · 216 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Git44.7%
    Tools · 297 postings
  2. Docker42.8%
    DevOps · 284 postings

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. LLM88.5%
    LLM applications · 588 postings
  2. LLM applications · 386 postings
  3. LLM applications · 300 postings
  4. LLM applications · 280 postings
  5. ChatGPT31.0%
    LLM applications · 206 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    263
    39.6%
  2. Electronics & Hardware
    105
    15.8%
  3. Semiconductor
    60
    9.0%
  4. Finance & Insurance
    53
    8.0%
  5. Telecom, Media & Digital Content
    34
    5.1%
  6. Wholesale, Retail & E-commerce
    32
    4.8%
  7. Manufacturing
    32
    4.8%
  8. Healthcare & Biotech
    26
    3.9%
  9. Professional Services
    19
    2.9%
  10. Consulting & Marketing Services
    14
    2.1%
  11. Construction & Real Estate
    10
    1.5%
  12. Government & Nonprofit
    5
    0.8%
Place
  1. Taipei
    355
    53.5%
  2. New Taipei
    105
    15.8%
  3. Taichung
    39
    5.9%
  4. Hsinchu County
    37
    5.6%
  5. Hsinchu City
    34
    5.1%
  6. Taoyuan
    31
    4.7%
  7. Kaohsiung
    29
    4.4%
  8. Tainan
    8
    1.2%
  9. Miaoli
    7
    1.1%
  10. Changhua
    6
    0.9%
  11. Nantou
    3
    0.4%
  12. Hualien
    3
    0.4%

Where this number is read from

Of the 664 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    0
  2. Job title
    13
  3. Job description
    663
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.