Yandex Unveils AI Assistant API For Custom Business Solutions

Yandex B2B Tech has launched the AI Assistant API, a new service enabling businesses to create AI assistants powered by YandexGPT 4. This offering simplifies the development of AI-driven solutions, allowing companies to automate tasks such as technical support, corporate search, and personalized recommendations without extensive coding or infrastructure setup.

Key Features Of The AI Assistant API

The AI Assistant API leverages advanced functionality to integrate seamlessly with company-specific data. Notable features include:

  • Custom Data Integration: Businesses can upload PDFs, DOCs, TEXT, or XLS files to train the AI assistant to respond based on their documents and articles.
  • Future External Knowledge Base Support: Yandex plans to enhance the API with access to external knowledge sources.
  • Enhanced Query Processing: Powered by YandexGPT 4, the model can handle reasoning tasks and process long queries, analyzing up to 60 pages of text.

Flexible Deployment Options

The AI Assistant API is currently available on Yandex Cloud, offering businesses quick access to the service. Plans are underway to allow deployment on private company infrastructure, adding versatility for enterprises with specific data security needs.

Simplifying AI Implementation

Grigory Atrepyev, Director of Products at Yandex Cloud, highlighted the API’s role in reducing barriers for businesses:

“In real business cases, it is important for the model to answer customer questions based on the company’s knowledge base. This reduces errors and inaccuracies. Many businesses lack dedicated data science teams, and the AI Assistant API simplifies integrating neural networks into applications.”

Supporting Innovation

The release of the AI Assistant API builds on Yandex Cloud’s recent launch of five new services aimed at supporting IT product development. This new tool demonstrates Yandex’s ongoing commitment to equipping businesses with cutting-edge technology.

 

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.