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https://github.com/deepset-ai/haystack-cookbook

👩🏻‍🍳 A collection of example notebooks using Haystack

https://github.com/deepset-ai/haystack-cookbook

Science Score: 26.0%

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Keywords

agentic agentic-ai agents ai ai-tools genai genai-usecases haystack-ai python rag
Last synced: 4 months ago · JSON representation

Repository

👩🏻‍🍳 A collection of example notebooks using Haystack

Basic Info
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  • Stars: 505
  • Watchers: 5
  • Forks: 100
  • Open Issues: 13
  • Releases: 0
Topics
agentic agentic-ai agents ai ai-tools genai genai-usecases haystack-ai python rag
Created about 2 years ago · Last pushed 5 months ago
Metadata Files
Readme Codeowners

README.md

👩🏻‍🍳 Haystack Cookbook

Green logo of a stylized white 'H' with the text 'Haystack, by deepset. The Production-Ready Open Source AI Framework' Abstract green and yellow diagrams in the background.

🧑‍🍳🍳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.

  1. Add your notebook to /notebooks folder
  2. 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.
  3. 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 the experimental = true field.

Owner

  • Name: deepset
  • Login: deepset-ai
  • Kind: organization
  • Email: hello@deepset.ai
  • Location: Berlin, Germany

Building enterprise search systems powered by latest NLP & open-source.

GitHub Events

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  • Delete event: 62
  • Member event: 1
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  • Pull request review comment event: 86
  • Pull request event: 145
  • Fork event: 26
Last Year
  • Create event: 63
  • Issues event: 16
  • Watch event: 131
  • Delete event: 62
  • Member event: 1
  • Issue comment event: 127
  • Push event: 199
  • Pull request review event: 119
  • Pull request review comment event: 86
  • Pull request event: 145
  • Fork event: 26

Issues and Pull Requests

Last synced: 5 months ago

All Time
  • Total issues: 27
  • Total pull requests: 252
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 5 days
  • Total issue authors: 15
  • Total pull request authors: 28
  • Average comments per issue: 0.56
  • Average comments per pull request: 0.98
  • Merged pull requests: 197
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 11
  • Pull requests: 69
  • Average time to close issues: 23 days
  • Average time to close pull requests: 2 days
  • Issue authors: 8
  • Pull request authors: 11
  • Average comments per issue: 0.36
  • Average comments per pull request: 0.75
  • Merged pull requests: 45
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

.github/workflows/project.yml actions
  • actions/add-to-project v1.0.2 composite
.github/workflows/publish_cookbook.yml actions
.github/workflows/verify_index.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
requirements.txt pypi
  • nbconvert *