by deepset-ai · Agent Tool · ★ 542
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👩🏻🍳 Haystack Cookbook 🧑🍳🍳Discover The Haystack Cookbook here A collection of example notebooks using Haystack 💚 These examples can serve as guidelines for using different model providers, vector databases, retrieval techniques, new experimental features, and more with Haystack. Most showcase a specific, small demo. To learn more about how to use Haystack, please visit our Docs and official Tutorials. For more examples, you may also find our Blog useful. Contributing to the Haystack Cookbook If you have an example that uses Haystack, you can add it to this repository by creating a PR. You can also create a PR directly from Colab by creating a fork of this repository and selecting "Save a Copy to GitHub" on Colab. Once you add your example to your fork, you can create a PR on this repository. Add your notebook to folder Give a descriptive name to your file that includes the names of (if applicable) the mod
| Stars | 542 |
| Forks | 123 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 52.5875893844347/100 |
| Open Issues | 19 |
| Last Updated | 2026-06-19 |
| Created | 2024-01-02 |
| Est. Tokens | ~16k |
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haystack-cookbook is 👩🏻🍳 A collection of example notebooks using Haystack. It is categorized as a Agent Tool with 542 GitHub stars.
haystack-cookbook is primarily written in Jupyter Notebook. It covers topics such as agentic, agentic-ai, agents.
You can find installation instructions and usage details in the haystack-cookbook GitHub repository at github.com/deepset-ai/haystack-cookbook. The project has 542 stars and 123 forks, indicating an active community.
The top alternatives to haystack-cookbook on Agent Skills Hub include tools, samples, agent-builder. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.