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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -32,3 +32,4 @@ To contribute to the tutorials, please check out our [Contributing Guidelines](.
| [Query Classification with TransformersTextRouter](./tutorials/41_Query_Classification_with_TransformersTextRouter_and_TransformersZeroShotTextRouter.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepset-ai/haystack-tutorials/blob/main/tutorials/41_Query_Classification_with_TransformersTextRouter_and_TransformersZeroShotTextRouter.ipynb) |
| [Retrieving a Context Window Around a Sentence](./tutorials/42_Sentence_Window_Retriever.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepset-ai/haystack-tutorials/blob/main/tutorials/42_Sentence_Window_Retriever.ipynb) | |
| [Build a Tool-Calling Agent](./tutorials/43_Building_a_Tool_Calling_Agent.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepset-ai/haystack-tutorials/blob/main/tutorials/43_Building_a_Tool_Calling_Agent.ipynb) | |
| [Creating Custom SuperComponents](./tutorials/44_Creating_Custom_SuperComponents.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepset-ai/haystack-tutorials/blob/main/tutorials/44_Creating_Custom_SuperComponents.ipynb) | |
12 changes: 12 additions & 0 deletions index.toml
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Expand Up @@ -206,3 +206,15 @@ completion_time = "10 min"
created_at = 2025-04-03
dependencies = ["docstring-parser", "trafilatura"]
featured = true

[[tutorial]]
title = "Creating Custom SuperComponents"
description = "Learn how to use the @super_component decorator to create custom SuperComponents with input and output mappings"
level = "intermediate"
weight = 8
notebook = "44_Creating_Custom_SuperComponents.ipynb"
aliases = []
completion_time = "20 min"
created_at = 2025-04-17
dependencies = ["sentence-transformers>=3.0.0", "datasets", "accelerate"]
featured = true
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