deepset-ai/haystack-cookbook
📚 Tutorialdeepset-ai
A comprehensive collection of hands-on Jupyter notebooks for building RAG pipelines and agentic AI with Haystack.
The Haystack Cookbook is an essential resource for developers working with the Haystack framework. It provides a curated library of Jupyter notebooks that demonstrate how to implement advanced AI patterns, including RAG, document indexing, and autonomous agents. Each notebook is designed to be a standalone tutorial, allowing users to experiment with different components like retrievers, generators, and prompt templates. The repository highlights how to integrate various LLM providers, vector databases, and document stores, making it a practical sandbox for testing architectural decisions. Whether you are building a simple search interface or a multi-step agentic system, these notebooks provide the boilerplate code and best practices necessary to accelerate your development lifecycle.
💡Highlights
- ├─Modular RAG pipeline examples
- ├─Agentic workflow implementations
- └─Multi-LLM integration patterns
🎯For
- ├─AI Engineers
- ├─Backend Developers
- └─Data Scientists