This cookbook respository is a collection of guides and examples for working with open models using Nebius Token Factory. Use these recipes to build and deploy intelligent applications faster.
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- Builder Hour
- Events supported by Nebius AI.
- Community contributions
- Post training examples
- Distillation guide
- Prerequisites:
- Youβll need a Nebius Token Factory account and API key. Sign up for free here.
- Python runtime (local, Google Colab etc.)
- Follow the setup guide
- Follow project-specific instructions**
π Models
Checkout latest model guides and sample code.
Featuring: Qwen3-2507 and GPT-OSS
π APIs
Access Token Factory using various APIs.
Open AI comptible API Β β’ Β LiteLLM Β β’ Β ai-suite Β β’ Β llama-index
π§ Builder Hour
Network, learn and build with fellow builders.
βοΈ Integrations
See integrations with other frameworks and APIs
πΆοΈ Fun and Cool Stuff
Have some fun with models.
π RAG
| Example | Description | Tech Stack |
|---|---|---|
| PDF RAG | Simple PDF RAG application | LLamaindex + Nebius AI |
| Chat with Documents | UI Web app to chat interactively with PDF documents | LLamaindex + Nebius AI + Streamlit |
| Internal Content Generation Platform | A platform for creating social posts, articles, and demo apps with a RAG pipeline. | Qdrant + Nebius AI + Qwen3-Embedding |
| End-to-end RAG pipeline for PDF documents | Process and query PDF documents using vector database and open source embeddings + models | Llama-index + Milvus db + Nebius AI + Qwen3-Embedding + GPT-OSS |
| Internal Support Agent | Multi-agent internal support agent with web search, document RAG, Notion/Calendly tools, and Slack bot | Nebius AI + LangGraph + Weaviate |
π Agents
We have numerous agent examples: from starter agents to intermediate agents and advanced agents.
Featured AI Agent frameworks:
CrewAI
Β β’ Β
Agno
Β β’ Β
Google ADK
Β β’ Β
Llama-index
Β β’ Β
Pydantic
Β β’ Β
AWS Strands
| Example | Description | Tech Stack |
|---|---|---|
| simple function calling example 1 | Demonstrates how to call functions | Nebius AI |
Post-training allows you to customize and improve pre-trained language models for your specific use cases through fine-tuning and other optimization methods
| Name | Descripton | Tech Stack |
|---|---|---|
| Distillation 1 | Example of a distilled model to do grammer check | Nebius AI |
We welcome your contributions! Open issues, submit pull requests, share your experience.
π§π»βπ€βπ§πΌ View community contributions
This project is licensed under the MIT License. See the LICENSE file for details.
Thanks to all of our amazing contributors!
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