Remove 1.x tutorials

* Remove 1.x related codes from the workflows
* remove haystack_v2 tag

Author: bilgeyucel

.github/workflows/nightly.yml

@@ -19,13 +19,13 @@ jobs:
         env:
           GH_TOKEN: ${{ github.token }}
         run: |
-          # Get tutorial notebooks for v2
+          # Get tutorial notebooks
           VERSION=$(gh api /repos/deepset-ai/haystack/releases | \
             jq -r '[.[].tag_name | select(test("^v2.[0-9]+.[0-9]+$"))] | first')
           NOTEBOOKS=$(python ./scripts/generate_matrix.py --haystack-version "$VERSION" --include-main)
           echo "matrix_v2={\"include\":$NOTEBOOKS}" >> "$GITHUB_OUTPUT"
 
-  run-tutorials-v2:
+  run-tutorials:
     needs: generate-matrix
     runs-on: ubuntu-latest
     container: deepset/haystack:base-${{ matrix.haystack_version }}

.github/workflows/run_tutorials_v2.yml .github/workflows/run_tutorials.yml.github/workflows/run_tutorials_v2.yml renamed to .github/workflows/run_tutorials.yml

@@ -1,36 +1,9 @@
-name: Run Haystack 2.x Tutorials
+name: Run Haystack Tutorials
 
 on:
   pull_request:
     paths:
       - "tutorials/*.ipynb"
-      # Exclude all v1.x tutorials, we can remove this when we drop support for it
-      - "!tutorials/01_Basic_QA_Pipeline.ipynb"
-      - "!tutorials/02_Finetune_a_model_on_your_data.ipynb"
-      - "!tutorials/03_Scalable_QA_System.ipynb"
-      - "!tutorials/04_FAQ_style_QA.ipynb"
-      - "!tutorials/05_Evaluation.ipynb"
-      - "!tutorials/06_Better_Retrieval_via_Embedding_Retrieval.ipynb"
-      - "!tutorials/07_RAG_Generator.ipynb"
-      - "!tutorials/08_Preprocessing.ipynb"
-      - "!tutorials/09_DPR_training.ipynb"
-      - "!tutorials/10_Knowledge_Graph.ipynb"
-      - "!tutorials/11_Pipelines.ipynb"
-      - "!tutorials/12_LFQA.ipynb"
-      - "!tutorials/13_Question_generation.ipynb"
-      - "!tutorials/14_Query_Classifier.ipynb"
-      - "!tutorials/15_TableQA.ipynb"
-      - "!tutorials/16_Document_Classifier_at_Index_Time.ipynb"
-      - "!tutorials/17_Audio.ipynb"
-      - "!tutorials/18_GPL.ipynb"
-      - "!tutorials/19_Text_to_Image_search_pipeline_with_MultiModal_Retriever.ipynb"
-      - "!tutorials/20_Using_Haystack_with_REST_API.ipynb"
-      - "!tutorials/21_Customizing_PromptNode.ipynb"
-      - "!tutorials/23_Answering_Multihop_Questions_with_Agents.ipynb"
-      - "!tutorials/22_Pipeline_with_PromptNode.ipynb"
-      - "!tutorials/24_Building_Chat_App.ipynb"
-      - "!tutorials/25_Customizing_Agent.ipynb"
-      - "!tutorials/26_Hybrid_Retrieval.ipynb"
 
 jobs:
   generate-matrix:
@@ -48,7 +21,7 @@ jobs:
         env:
           GH_TOKEN: ${{ github.token }}
         run: |
-          # Get tutorial notebooks for v2
+          # Get tutorial notebooks
           VERSION=$(gh api /repos/deepset-ai/haystack/releases | \
             jq -r '[.[].tag_name | select(test("^v2.[0-9]+.[0-9]+$"))] | first')
           NOTEBOOKS=$(python ./scripts/generate_matrix.py --haystack-version "$VERSION" --include-main)
@@ -60,34 +33,6 @@ jobs:
         with:
           matrix: true
           files: tutorials/*.ipynb
-          # Ignore all 1.x tutorials, we can remove this as soon as we drop support for it
-          files_ignore: |
-            tutorials/01_Basic_QA_Pipeline.ipynb
-            tutorials/02_Finetune_a_model_on_your_data.ipynb
-            tutorials/03_Scalable_QA_System.ipynb
-            tutorials/04_FAQ_style_QA.ipynb
-            tutorials/05_Evaluation.ipynb
-            tutorials/06_Better_Retrieval_via_Embedding_Retrieval.ipynb
-            tutorials/07_RAG_Generator.ipynb
-            tutorials/08_Preprocessing.ipynb
-            tutorials/09_DPR_training.ipynb
-            tutorials/10_Knowledge_Graph.ipynb
-            tutorials/11_Pipelines.ipynb
-            tutorials/12_LFQA.ipynb
-            tutorials/13_Question_generation.ipynb
-            tutorials/14_Query_Classifier.ipynb
-            tutorials/15_TableQA.ipynb
-            tutorials/16_Document_Classifier_at_Index_Time.ipynb
-            tutorials/17_Audio.ipynb
-            tutorials/18_GPL.ipynb
-            tutorials/19_Text_to_Image_search_pipeline_with_MultiModal_Retriever.ipynb
-            tutorials/20_Using_Haystack_with_REST_API.ipynb
-            tutorials/21_Customizing_PromptNode.ipynb
-            tutorials/23_Answering_Multihop_Questions_with_Agents.ipynb
-            tutorials/22_Pipeline_with_PromptNode.ipynb
-            tutorials/24_Building_Chat_App.ipynb
-            tutorials/25_Customizing_Agent.ipynb
-            tutorials/26_Hybrid_Retrieval.ipynb
 
       - name: Filter non changed notebooks
         id: filter

index.toml

@@ -3,296 +3,6 @@ layout = "tutorial"
 toc = true
 colab = "https://colab.research.google.com/github/deepset-ai/haystack-tutorials/blob/main/tutorials/"
 
-[[tutorial]]
-title = "Build Your First Question Answering System"
-description = "Get Started by creating a Retriever Reader pipeline."
-level = "beginner"
-weight = 10
-notebook = "01_Basic_QA_Pipeline.ipynb"
-aliases = [
-    "first-qa-system",
-    "without-elasticsearch",
-    "03_basic_qa_pipeline_without_elasticsearch",
-]
-completion_time = "15 min"
-created_at = 2023-01-11
-hidden = true
-
-[[tutorial]]
-title = "Fine-Tuning a Model on Your Own Data"
-description = "Improve the performance of your Reader by performing fine-tuning."
-level = "intermediate"
-weight = 50
-notebook = "02_Finetune_a_model_on_your_data.ipynb"
-aliases = ["fine-tuning-a-model"]
-created_at = 2021-08-12
-completion_time = "15 min"
-needs_gpu = true
-hidden = true
-
-[[tutorial]]
-title = "Build a Scalable Question Answering System"
-description = "Create a scalable Retriever Reader pipeline that uses an ElasticsearchDocumentStore."
-level = "beginner"
-weight = 15
-notebook = "03_Scalable_QA_System.ipynb"
-aliases = []
-completion_time = "20 min"
-created_at = 2023-01-11
-hidden = true
-
-[[tutorial]]
-title = "Utilizing Existing FAQs for Question Answering"
-description = "Create a smarter way to answer new questions using your existing FAQ documents."
-level = "beginner"
-weight = 20
-notebook = "04_FAQ_style_QA.ipynb"
-aliases = ["existing-faqs"]
-created_at = 2021-08-12
-hidden = true
-
-[[tutorial]]
-title = "Evaluation of a QA System"
-description = "Learn how to evaluate the performance of individual nodes as well as entire pipelines."
-level = "advanced"
-weight = 105
-notebook = "05_Evaluation.ipynb"
-aliases = ["evaluation"]
-created_at = 2021-08-12
-hidden = true
-
-[[tutorial]]
-title = "Better Retrieval with Embedding Retrieval"
-description = "Use Transformer based dense Retrievers to improve your system’s performance."
-level = "intermediate"
-weight = 55
-notebook = "06_Better_Retrieval_via_Embedding_Retrieval.ipynb"
-aliases = ["embedding-retrieval"]
-created_at = 2022-03-08
-hidden = true
-
-[[tutorial]]
-title = "Generative QA with RAGenerator"
-description = "Try out a generative model in place of the extractive Reader."
-level = "intermediate"
-weight = 60
-notebook = "07_RAG_Generator.ipynb"
-aliases = []
-created_at = 2021-08-12
-haystack_version = "1.17.2"
-hidden = true
-sitemap_exclude = true
-
-[[tutorial]]
-title = "Preprocessing Your Documents"
-description = "Start converting, cleaning, and splitting Documents using Haystack’s preprocessing capabilities."
-level = "beginner"
-weight = 25
-notebook = "08_Preprocessing.ipynb"
-aliases = ["preprocessing"]
-created_at = 2021-08-12
-hidden = true
-
-[[tutorial]]
-title = "Training Your Own Dense Passage Retrieval Model"
-description = "Learn about training a Dense Passage Retrieval model and the data needed to do so."
-level = "advanced"
-weight = 110
-notebook = "09_DPR_training.ipynb"
-aliases = ["train-dpr"]
-created_at = 2021-08-12
-needs_gpu = true
-hidden = true
-
-[[tutorial]]
-title = "Question Answering on a Knowledge Graph"
-description = "Experiment with a question answering system that draws upon knowledge graph.h"
-level = "advanced"
-weight = 120
-notebook = "10_Knowledge_Graph.ipynb"
-aliases = ["knowledge-graph"]
-created_at = 2021-08-12
-haystack_version = "1.16.1"
-hidden = true
-sitemap_exclude = true
-
-[[tutorial]]
-title = "How to Use Pipelines"
-description = "Learn about the many ways which you can route queries through the nodes in a pipeline."
-level = "beginner"
-weight = 40
-notebook = "11_Pipelines.ipynb"
-aliases = ["pipelines"]
-created_at = 2021-08-12
-hidden = true
-
-[[tutorial]]
-title = "Generative QA with Seq2SeqGenerator"
-description = "Try out a generative model in place of the extractive Reader."
-level = "intermediate"
-weight = 70
-notebook = "12_LFQA.ipynb"
-aliases = ["lfqa"]
-created_at = 2021-08-12
-haystack_version = "1.17.2"
-hidden = true
-sitemap_exclude = true
-
-[[tutorial]]
-title = "Question Generation"
-description = "Generate a set of questions that can be answered by a given Document."
-level = "intermediate"
-weight = 75
-notebook = "13_Question_generation.ipynb"
-aliases = ["question-generation"]
-created_at = 2021-08-12
-needs_gpu = true
-hidden = true
-
-[[tutorial]]
-title = "Query Classifier"
-description = "Classify incoming queries so that they can be routed to the nodes that are best at handling them."
-level = "intermediate"
-weight = 80
-notebook = "14_Query_Classifier.ipynb"
-aliases = ["query-classifier"]
-created_at = 2021-08-12
-hidden = true
-
-[[tutorial]]
-title = "Open-Domain QA on Tables"
-description = "Perform question answering on tabular data."
-level = "advanced"
-weight = 130
-notebook = "15_TableQA.ipynb"
-aliases = ["table-qa"]
-created_at = 2021-08-12
-hidden = true
-
-[[tutorial]]
-title = "Document Classification at Index Time"
-description = "Generate and attach classification labels to your Documents when indexing."
-level = "intermediate"
-weight = 85
-notebook = "16_Document_Classifier_at_Index_Time.ipynb"
-aliases = ["doc-class-index"]
-created_at = 2021-08-12
-hidden = true
-
-[[tutorial]]
-title = "Make Your QA Pipelines Talk!"
-description = "Convert text Answers into speech."
-level = "intermediate"
-weight = 90
-notebook = "17_Audio.ipynb"
-aliases = ["audio"]
-created_at = 2022-06-07
-hidden = true
-sitemap_exclude = true
-
-[[tutorial]]
-title = "Generative Pseudo Labeling for Domain Adaptation"
-description = "Use a Retriever and a query generator to perform unsupervised domain adaptation."
-level = "advanced"
-weight = 140
-notebook = "18_GPL.ipynb"
-aliases = ["gpl"]
-created_at = 2022-06-07
-needs_gpu = true
-hidden = true
-
-[[tutorial]]
-title = "Text-To-Image Search Pipeline with Multimodal Retriever"
-description = "Use a MultiModalRetriever to build a cross-modal search pipeline."
-level = "intermediate"
-weight = 95
-notebook = "19_Text_to_Image_search_pipeline_with_MultiModal_Retriever.ipynb"
-aliases = ["multimodal"]
-completion_time = "20 min"
-created_at = 2022-07-11
-hidden = true
-
-[[tutorial]]
-title = "Using Haystack with REST API"
-description = "Create a production-ready pipeline and interact with Haystack REST API."
-level = "advanced"
-weight = 115
-notebook = "20_Using_Haystack_with_REST_API.ipynb"
-aliases = ["using-haystack-with-rest-api"]
-colab = false
-completion_time = "30 min"
-created_at = 2023-01-11
-hidden = true
-
-[[tutorial]]
-title = "Customizing PromptNode for NLP Tasks"
-description = "Use PromptNode and PromptTemplate for your custom NLP tasks"
-level = "intermediate"
-weight = 57
-notebook = "21_Customizing_PromptNode.ipynb"
-aliases = ["customizing-promptnode"]
-completion_time = "20 min"
-created_at = 2023-02-16
-hidden = true
-
-[[tutorial]]
-title = "Answering Multihop Questions with Agents"
-description = "Use Agent to answer multihop questions with extractive models"
-level = "intermediate"
-weight = 63
-notebook = "23_Answering_Multihop_Questions_with_Agents.ipynb"
-aliases = ["multihop-qa-with-agents"]
-completion_time = "10 min"
-created_at = 2023-03-27
-hidden = true
-
-[[tutorial]]
-title = "Creating a Generative QA Pipeline with Retrieval-Augmentation"
-description = "Use a large language model in your search system through PromptNode"
-level = "intermediate"
-weight = 61
-notebook = "22_Pipeline_with_PromptNode.ipynb"
-aliases = ["pipeline-with-promptnode", "retrieval-augmented-generation"]
-completion_time = "15 min"
-created_at = 2023-03-13
-featured = true
-hidden = true
-
-[[tutorial]]
-title = "Building a Conversational Chat App"
-description = "Use ConversationalAgent to build a human-like chat application"
-level = "intermediate"
-weight = 64
-notebook = "24_Building_Chat_App.ipynb"
-aliases = ["building-chat-app"]
-completion_time = "10 min"
-created_at = 2023-05-30
-hidden = true
-
-[[tutorial]]
-title = "Customizing Agent to Chat with Your Documents"
-description = "Advanced Customizations for Agents with Memory"
-level = "advanced"
-weight = 117
-notebook = "25_Customizing_Agent.ipynb"
-aliases = ["customizing-agent"]
-completion_time = "15 min"
-created_at = 2023-07-19
-featured = true
-hidden = true
-
-[[tutorial]]
-title = "Creating a Hybrid Retrieval Pipeline"
-description = "Learn how to combine Retrievers to enhance retrieval"
-level = "intermediate"
-weight = 63
-notebook = "26_Hybrid_Retrieval.ipynb"
-aliases = ["hybrid-retrieval"]
-completion_time = "15 min"
-created_at = 2023-10-10
-featured = true
-hidden = true
-
 [[tutorial]]
 title = "Creating Your First QA Pipeline with Retrieval-Augmentation"
 description = "Build your first generative QA pipeline with OpenAI GPT models"