Step-by-step guides for Yandex AI Studio
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Updated at November 27, 2025
Step-by-step guides for using the Model Gallery models
- Estimating prompt size in tokens
- Sending a request in prompt mode
- How to build a chat with the Responses API
- Sending an asynchronous request
- Calling a function from a model
- Running a model in batch mode
- Generating an image using YandexART
- Using embeddings to search through the knowledge base
Step-by-step guides for classifiers based on YandexGPT
AI Studio model tuning
- Fine-tuning a text generation model
- Fine-tuning text classification models
- Fine-tuning an embedding model
Step-by-step guides on how to build AI agents
- Creating a WebSocket-based voice agent via the Realtime API
- Creating a simple text agent
- Creating a simple text agent with a function call
- Creating a text agent with file search
- Managing Vector Store search index
Step-by-step guides on how to use MCP servers
- Connecting an external MCP server to MCP Hub
- Building an MCP server from a template in MCP Hub
- Creating an MCP server in MCP Hub from scratch
Step-by-step guides for creating AI assistants using AI Assistant API
- Creating a simple assistant
- Creating a RAG assistant with the Vector Store tool
- Creating an AI assistant for RAG with source file and index metadata preserved
- Creating an assistant with the WebSearch tool
- Creating a RAG assistant with intermediate response generation results
- Creating a RAG assistant with query rephrasing
Step-by-step guides on managing AI Studio resources
Managing datasets
- Creating a dataset
- Creating a dataset for tuning a text generation model
- Creating a dataset for tuning a text classification model
Managing instances
- Creating an instance
- Getting instance info
- Updating an instance
- Cloning an instance
- Stopping and starting an instance
- Managing instance labels
- Sending a request to an instance
- Deleting an instance