Haystack Tutorials

Haystack is an open source NLP framework by deepset to help you build production ready search systems or applications powered by various NLP tasks such as Question Answering. Haystack is designed to help you build systems that work intelligently over large document collections. It achieves this with the concept of Pipelines consisting of various Nodes such as a DocumentStore, a Retriever and a Reader.

This is the repository where we keep all the Haystack tutorials 📓 👇 These tutorials are also published to the Haystack Website

To contribute to the tutorials please check out our Contributing Guidelines

Tutorials

Name	Colab	Source Code
Basic QA Pipeline		01_Basic_QA_Pipeline.ipynb
Fine Tune a Model on Your Data		02_Finetune_a_model_on_your_data.ipynb
Basic QA Pipeline Without Elasticsearch		03_Basic_QA_Pipeline_without_Elasticsearch.ipynb
FAQ Style QA		04_FAQ_style_QA.ipynb
Evaluation		05_Evaluation.ipynb
Better Retrieval via Embedding Retrieval		06_Better_Retrieval_via_Embedding_Retrieval.ipynb
RAG Generator		07_RAG_Generator.ipynb
Preprocessing		08_Preprocessing.ipynb
DPR Training		09_DPR_training.ipynb
Knowledge Graph		10_Knowledge_Graph.ipynb
Pipelines		11_Pipelines.ipynb
Long-Form Question Answering		12_LFQA.ipynb
Question Generation		13_Question_generation.ipynb
Query Classifier		14_Query_Classifier.ipynb
Table QA		15_TableQA.ipynb
Document Classifier at Index Time		16_Document_Classifier_at_Index_Time.ipynb
Audio		17_Audio.ipynb
Generative Pseudo Labeling		18_GPL.ipynb
Text-to-Image search		19_Text_to_Image_search_pipeline_with_MultiModal_Retriever.ipynb