This repository provides a collection of Python and JavaScript code examples and guides for developers to leverage open-source AI models through the Together AI platform. It aims to simplify the integration of advanced AI capabilities like complex agent workflows, fine-tuning, and retrieval-augmented generation (RAG) into custom applications.

How It Works

The cookbook offers practical, copy-pasteable code snippets demonstrating various AI patterns. It utilizes the Together AI API to access and orchestrate a range of open-source models, enabling users to build sophisticated applications without managing infrastructure. The examples cover sequential, conditional, parallel, and iterative agent designs, alongside fine-tuning techniques like LoRA and DPO, and RAG implementations for enhanced context and search.

Quick Start & Requirements

• Install/Run: Copy code snippets into your projects.
• Prerequisites: A Together AI API key is required. Examples are primarily in Python/JS.
• Resources: Sign up for a free Together AI API key.
• Docs: Together AI developer documentation

Highlighted Details

• Demonstrates advanced agent workflows including serial chains, conditional routing, parallel execution, and orchestration.
• Provides comprehensive guides for fine-tuning open-source models, including LoRA, DPO, and continual fine-tuning for specific tasks like long context and conversation handling.
• Features various Retrieval-Augmented Generation (RAG) implementations, including multimodal RAG with image data and RAG with reranking for improved search accuracy.
• Showcases miscellaneous use cases such as a code interpreter, embedding visualization, and PDF-to-podcast generation.

Maintenance & Community

• Contributions are welcomed via pull requests or Discord.
• Community support is available on Together AI Discord.

Licensing & Compatibility

• The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0) given its nature as a collection of examples, but specific model licenses used within the examples may vary.
• Compatible with any programming language supporting the Together API.

Limitations & Caveats

The effectiveness of the examples is dependent on having a Together AI API key and understanding the underlying AI concepts. Specific model performance and availability may vary.