Haystack Tutorials

Haystack is an open source framework by deepset for building production-ready LLM applications, retrieval-augmented generative pipelines and state-of-the-art search systems that work intelligently over large document collections. It lets you quickly try out the latest models in natural language processing (NLP) while being flexible and easy to use.

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

Code	Colab
Your First QA Pipeline with Retrieval-Augmentation
Generating Structured Output with Loop-Based Auto-Correction
Serializing Pipelines
Preprocessing Different File Types
Metadata Filtering
Classifying Documents & Queries by Language
Creating a Hybrid Retrieval Pipeline
Build an Extractive QA Pipeline
Evaluating RAG Pipelines
Building Pipelines with Conditional Routing
Embedding Metadata for Improved Retrieval
Building a Chat Application with Function Calling
Query Classification with TransformersTextRouter
Retrieving a Context Window Around a Sentence