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Nebius Token Factory Cookbook

A collection of guides and examples for building intelligent applications with open models on Nebius Token Factory.

⭐ If you find this repo useful, give it a star! You'll be notified of new updates and help others discover it too — thank you!


Table of Contents


😎 Featured


Network, learn, and build with fellow builders - including hackathons, workshops, and community events.

Join Office Hour online.

Events / hackathons / workshops


  1. Prerequisites
    • A Nebius Token Factory account and API key — sign up for free here
    • Python runtime (local, Google Colab, etc.)
  2. Follow the getting started guide
  3. Follow project-specific instructions in each example's README

🎁 Models

Checkout the latest model guides and sample code.

Featuring: Kimi-K3  •  DeepSeek V4 Pro  •  GLM-5.2  •  Qwen3.5-397B-A17B  •  Nemotron family


📘 APIs

Access Token Factory using various APIs:

OpenAI-compatible API   •   LiteLLM   •   ai-suite   •   Llama-index


🎠 Agents

Numerous agent examples ranging from starter to intermediate and advanced.

Featured AI Agent frameworks:

CrewAI   •   Agno   •   LangChain   •   Google ADK   •   Llama-index   •   Pydantic   •   AWS Strands


🔍 RAG

Example Description Tech Stack
PDF RAG Simple PDF RAG application LlamaIndex + Nebius AI
Chat with Documents Web app to chat interactively with PDF documents LlamaIndex + Nebius AI + Streamlit
Internal Content Generation Platform Create social posts, articles, and demos with a RAG pipeline Qdrant + Nebius AI + Qwen3-Embedding
End-to-end RAG Pipeline for PDFs Process and query PDF documents using vector DB and open-source embeddings LlamaIndex + Milvus + Nebius AI + Qwen3-Embedding + GPT-OSS
Internal Support Agent Multi-agent support agent with web search, document RAG, Notion/Calendly tools, and Slack bot Nebius AI + LangGraph + Weaviate

Guides for connecting third-party tools to Token Factory:

  • OpenClaw — self-hosted AI agents on open models
  • Tavily — LLM-optimized search API for agentic research
  • Pixeltable — multimodal AI data infrastructure with native Token Factory chat + embeddings

See also the official catalog: docs.tokenfactory.nebius.com/integrations


Example Description Tech Stack
Simple function calling Demonstrates how to call functions Nebius AI

Post-training lets you customize and improve pre-trained language models for your specific use cases through fine-tuning and other optimization methods.

View post training examples →


Name Description Tech Stack
Distillation 1 Example of a distilled model for grammar checking Nebius AI

Hands-on, guided learning sessions:


Have some fun with models:


We welcome your contributions! Open issues, submit pull requests, and share your experience.

🧑🏻‍🤝‍🧑🏼 View community contributions


📔 Resources


📜 License

This project is licensed under the MIT License. See the LICENSE file for details.


🌟 GitHub Star History

Star History Chart


✨ Contributors

Thanks to all of our amazing contributors!


© Nebius BV, 2025

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