Add RAG Pipeline tutorial for Haystack 2.0

.github/workflows/run_tutorials.yml

@@ -67,6 +67,7 @@ jobs:
               "tutorials/23_Answering_Multihop_Questions_with_Agents.ipynb"
               "tutorials/24_Building_Chat_App.ipynb"
               "tutorials/25_Customizing_Agent.ipynb"
+              "tutorials/27_First_RAG_Pipeline.ipynb"
           )
           for changed_file in ${{ steps.files.outputs.all_changed_files }}; do
             if [[ $changed_file == *".ipynb" ]]; then

README.md

@@ -44,3 +44,4 @@ To contribute to the tutorials, please check out our [Contributing Guidelines](.
 | [Building a Conversational Chat App](./tutorials/24_Building_Chat_App.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/24_Building_Chat_App.ipynb) |
 | [Customizing Agent to Chat with Your Documents](./tutorials/25_Customizing_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/25_Customizing_Agent.ipynb) |
 | [Creating a Hybrid Retrieval Pipeline](./tutorials/26_Hybrid_Retrieval.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/26_Hybrid_Retrieval.ipynb) |
+| [Your First QA Pipeline with Retrieval-Augmentation](./tutorials/27_First_RAG_Pipeline.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/27_First_RAG_Pipeline.ipynb) |

index.toml

@@ -263,4 +263,15 @@ notebook = "26_Hybrid_Retrieval.ipynb"
 aliases = ["hybrid-retrieval"]
 completion_time = "15 min"
 created_at = 2023-10-10
-featured = true
+featured = true
+
+[[tutorial]]
+title = "Creating Your First QA Pipeline with Retrieval-Augmentation"
+description = "Build your first generative QA pipeline with OpenAI GPT models"
+level = "beginner"
+weight = 5
+notebook = "27_First_RAG_Pipeline.ipynb"
+aliases = []
+completion_time = "10 min"
+created_at = 2023-12-05
+haystack_2 = true

scripts/generate_markdowns.py

@@ -24,6 +24,7 @@ def generate_frontmatter(config, tutorial):
 layout: {config["layout"]}
 featured: {tutorial.get("featured", False)}
 haystack_version: "{tutorial.get("haystack_version", "latest")}"
+haystack_2: {tutorial.get("haystack_2", False)}
 hidden: {tutorial.get("hidden", False)}
 sitemap_exclude: {tutorial.get("sitemap_exclude", False)}
 colab: {tutorial.get("colab", f'{config["colab"]}{tutorial["notebook"]}')}

scripts/generate_matrix.py

@@ -37,6 +37,10 @@ def read_index(path):
             # so there's nothing to test
             continue
 
+        if tutorial.get("haystack_2", False):
+            # Haystack 2.0 tutorials should be skipped for now
+            continue
+
         version = tutorial.get("haystack_version", args.version)
         if version[0] != "v":
             version = f"v{version}"