Haystack Tutorials

Haystack is an open source LLM framework by deepset to help you build production ready applications. Haystack is designed to help you build systems that work intelligently over large document collections to perform tasks like document retrieval, text generation, question answering, or summarization. It achieves this with the concept of Pipelines consisting of various Components such as a DocumentStore, a Retriever, and a PromptNode.

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

Source Code	Colab
Build Your First Question Answering System
Fine Tune a Model on Your Data
Build a Scalable Question Answering System
FAQ Style QA
Evaluation
Better Retrieval via Embedding Retrieval
RAG Generator
Preprocessing
DPR Training
Knowledge Graph
Pipelines
Seq2SeqGenerator
Question Generation
Query Classifier
Table QA
Document Classifier at Index Time
Make Your QA Pipelines Talk!
Generative Pseudo Labeling
Text-to-Image search
Using Haystack with REST API
Customizing PromptNode
Generative QA Pipeline with Retrieval-Augmentation
Answering Complex Questions with Agents
Building a Conversational Chat App
Customizing Agent to Chat with Your Documents