deepset-ai/haystack-cookbook
👩🏻🍳 A collection of example notebooks using Haystack
This project provides practical, ready-to-use examples for building applications that can intelligently find answers or information within your documents. It takes various data sources (like text documents or databases) and uses advanced techniques to extract precise information or generate relevant responses. It's designed for AI practitioners, data scientists, or developers who are building sophisticated search, question-answering, or RAG (Retrieval Augmented Generation) systems.
525 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you need concrete examples and starting points for integrating different AI models, vector databases, and retrieval strategies into your Haystack-powered intelligent search or QA application.
Not ideal if you are looking for introductory material on how to use Haystack itself, or if you prefer a complete, out-of-the-box solution rather than building a custom one.
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Jupyter Notebook
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Last pushed
Mar 03, 2026
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