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The Together Cookbook is a collection of code and guides designed to help developers build with open source models using Together AI. The best way to use the recipes is to copy code snippets and integrate them into your own projects!
We welcome contributions to this repository! If you have a cookbook you'd like to add, please reach out to use the Discord or open a pull request!
To make the most of the examples in this cookbook, you'll need a Together AI API key (sign up for free here).
While the code examples are primarily written in Python/JS, the concepts can be adapted to any programming language that supports interaction with the Together API.
| Cookbook | Description | Open |
|---|---|---|
| MultiModal_RAG_with_Nvidia_Investor_Slide_Deck | Multimodal RAG using Nvidia investor slides |   |
| Embedding_Visualization | Visualize vector embeddings | |
| Knowledge_Graphs_with_Structured_Outputs | Get LLMs to generate knowledge graphs | |
| Search_with_Reranking | Improve search results with rerankers | |
| Semantic_Search | Implement vector search with embedding models | |
| Structured_Text_Extraction_from_Images | Extract structured text from images | |
| Text_RAG | Implement text-based Retrieval-Augmented Generation | |
Looking for more resources to enhance your experience with open source models? Check out these helpful links:
- Together AI Research: Explore papers and technical blog posts from our research team.
- Together AI Blog: Explore technical blogs, product announcements and more on our blog.
