Yandex Integrates YandexGPT 4 Into Documents Service

Yandex has enhanced its Documents service by integrating the YandexGPT 4 neural network into its online text editor. This update aims to simplify text-related tasks and improve productivity. Additionally, Yandex has introduced updates to its table editor. Both tools are currently available in beta mode and free for users.

New Features of YandexGPT 4 in the Text Editor

The integration of YandexGPT 4 enables users to create and edit text efficiently in both Russian and English. The neural network offers several features:

  • Error correction
  • Adjustments to tone, allowing users to make text more formal or casual
  • Content reduction for summarizing or condensing text

This makes the text editor versatile for professional and personal use.

Improved Performance

The updated editors are designed to handle large files with ease, even documents as lengthy as 1,000 pages. They also support real-time collaboration for up to 100 users per file, ensuring smooth teamwork on shared projects.

Beta Access

To try the new editors, users can activate the “New editor” option in the top panel of the Documents service’s web interface.

Statement From Yandex

Sergey Pedchenko, Head of the Technological Development Group at Yandex 360, explained the reasoning behind the beta launch:

“We launched the editors in beta so that users could evaluate their performance and try out the new interface. The editors lack a number of features, but we are working to make them available as soon as possible.”

Pedchenko also highlighted future plans, including adding a commenting feature and expanding functionality. The move to Yandex’s in-house developments is expected to boost flexibility, performance, and the speed of updates.

Expanding Neural Network Integration

This update follows Yandex’s earlier integration of YandexGPT 4 into its virtual assistant, Alice, further demonstrating the company’s commitment to embedding AI technologies across its platforms.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.