# togethercomputer/together-cookbook

A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.

Repository: https://github.com/togethercomputer/together-cookbook
Canonical: https://ross.abutalabs.com/products/together-cookbook
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-07-08T14:50:47+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 35, longevity 49
- inputs: {"age_days": 695, "days_push": 56, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1182, forks 218 (observed 2026-08-28T04:03:54.224932+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: llm-inference, agent-framework, rag, machine-learning, sdk
- domain: large-language-models, developer-tools, tutorials
- platform: python, cloud
- tags: cookbook, jupyter-notebooks, together-ai, open-source-models, llm-recipes, api-examples, ai-agents, retrieval-augmented-generation, nodejs

## Member repositories
- togethercomputer/together-cookbook (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:54.224932+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:24:59.351285+00:00, confidence not recorded.
  - readme: https://github.com/togethercomputer/together-cookbook (fetched 2026-08-28T04:03:54.224932+00:00, sha 3239c6b838c1)
- Data as of 2026-08-30T08:39:29.467469+00:00.