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deepset-ai haystack-cookbook
👩🏻🍳 A collection of example notebooks using Haystack
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- popularity 50
- growth 0
- activity 100
- freshness 100
- community 70
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🧑🍳🍳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.
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
/notebooksfolder - Give a descriptive name to your file that includes the names of (if applicable) the model providers, databases, the technologies you use in your example, and/or the task you are completing in the example.
- Make sure you add it to
index.toml, including its title and topics. If the notebook is using an experimental feature, also add the discussion link with theexperimental = truefield.
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- Maintained recently (last push 2 weeks ago).
Who should use it
- Developers working primarily with Jupyter Notebook
- Teams exploring AI tooling, agents, or ML infrastructure
Potential use cases
- Reference or evaluate Jupyter Notebook open-source approaches in this domain
- Prototype AI/agent workflows or study reference architectures
Strengths
- Recent repository activity
- README present in our index
Limitations / considerations
- License not recorded in our index — confirm on GitHub before production use
What to watch
- Re-check last push, issues, and releases on GitHub before production adoption
Strong signals: Active maintenance
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.
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