togethercomputer/together-cookbook resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1182 stars · 218 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter notebook recipes and guides demonstrating how to build applications with open-source models using the Together AI API. It covers agent workflows, RAG, fine-tuning, and other LLM use cases with copy-paste-ready code snippets.

Use cases

• learn how to build LLM agents with open-source models
• implement RAG pipelines using Together AI
• chain multiple LLM calls in a workflow
• fine-tune open-source models on Together AI
• run multiple LLMs in parallel and aggregate results
• get started with the Together AI API in Python or JS

When to choose

• you want practical, runnable notebook examples for Together AI models
• you are prototyping agent workflows or RAG with open-source LLMs
• you need reference code snippets to integrate into your own project

When to avoid

• you need a production-ready library or framework rather than example notebooks
• you use a provider other than Together AI and want provider-agnostic tooling
• you want a maintained software package with versioned releases and APIs

Facets

learning-resource · maturity active

llm-inference agent-framework rag machine-learning sdk large-language-models developer-tools tutorials python cloud cookbook jupyter-notebooks together-ai open-source-models llm-recipes api-examples ai-agents retrieval-augmented-generation nodejs

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markdown · JSON · MCP: product_card(name="togethercomputer/together-cookbook")