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

1. Basic QA Pipeline
2. Fine Tune a Model on Your Data
3. Basic QA Pipeline Without Elasticsearch
4. FAQ Style QA
5. Evaluation
6. Better Retrieval via Embedding Retrieval
7. RAG Generator
8. Preprocessing
9. DPR Training
10. Knowledge Graph
11. Pipelines
12. Long-Form Question Answering
13. Question Generation
14. Query Classifier
15. Table QA
16. Document Classifier at Index Time
17. Audio
18. Generative Pseudo Labeling