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The Haystack Developer’s Guide: Build Scalable RAG Pipelines and Intelligent Search Applications with Python
Build bullet-proof RAG pipelines that scale, without guessing your way through documentation.
The Haystack Developer’s Build Scalable RAG Pipelines and Intelligent Search Applications with Python is the hands-on playbook for developers who want reliable, production-ready Retrieval-Augmented Generation and search AI, fast.
Why This Book WinsEnd-to-End Framework Mastery
Go from zero to expert with step-by-step tutorials on Haystack’s pipeline engine, vector search integrations, and REST API deployment.
Performance at Scale
Learn proven techniques for caching, sharding, GPU acceleration, and latency reduction—so your applications stay fast under real traffic.
Production-Grade Templates
Copy-and-paste YAML configs, Python snippets, and CLI commands that you can drop directly into your own projects.
Future-Proof Skills
Master emerging trends like hybrid retrieval, multilingual pipelines, on-device RAG, and multimodal search to keep your solutions ahead of the curve.
Open-Source First
Discover how to combine Haystack with FAISS, Weaviate, Elasticsearch, LangChain, DSPy, and PromptFlow for a best-in-class, vendor-neutral stack.Inside You’ll LearnVector Indexing Essentials – Dense vs. sparse retrieval, embedding models, and document preprocessing.Pipeline Orchestration – Build, debug, and monitor DAG-based workflows with custom nodes.Performance & Scalability – Load testing with Locust, GPU batching, and edge-ready model compression.Troubleshooting & Observability – Log analysis, error hunting, and quick-fix reference tables.Community & Contribution – Join the Haystack maintainer circle, publish your own nodes, and write standout documentation.Who Should Read This Book?Python engineers shipping search or QA features.AI/NLP practitioners moving prototypes into production.Technical leads & architects standardizing LLM pipelines across teams.Open-source enthusiasts looking to contribute to the Haystack ecosystem.Stop Piecing Tutorials TogetherWith clear explanations, real-world code, and a laser focus on scalable Retrieval-Augmented Generation, The Haystack Developer’s Guide gives you everything you need to build high-performing search AI—today.
Buy the book now and ship your first production RAG pipeline this week!
The Haystack Developer’s Build Scalable RAG Pipelines and Intelligent Search Applications with Python is the hands-on playbook for developers who want reliable, production-ready Retrieval-Augmented Generation and search AI, fast.
Why This Book WinsEnd-to-End Framework Mastery
Go from zero to expert with step-by-step tutorials on Haystack’s pipeline engine, vector search integrations, and REST API deployment.
Performance at Scale
Learn proven techniques for caching, sharding, GPU acceleration, and latency reduction—so your applications stay fast under real traffic.
Production-Grade Templates
Copy-and-paste YAML configs, Python snippets, and CLI commands that you can drop directly into your own projects.
Future-Proof Skills
Master emerging trends like hybrid retrieval, multilingual pipelines, on-device RAG, and multimodal search to keep your solutions ahead of the curve.
Open-Source First
Discover how to combine Haystack with FAISS, Weaviate, Elasticsearch, LangChain, DSPy, and PromptFlow for a best-in-class, vendor-neutral stack.Inside You’ll LearnVector Indexing Essentials – Dense vs. sparse retrieval, embedding models, and document preprocessing.Pipeline Orchestration – Build, debug, and monitor DAG-based workflows with custom nodes.Performance & Scalability – Load testing with Locust, GPU batching, and edge-ready model compression.Troubleshooting & Observability – Log analysis, error hunting, and quick-fix reference tables.Community & Contribution – Join the Haystack maintainer circle, publish your own nodes, and write standout documentation.Who Should Read This Book?Python engineers shipping search or QA features.AI/NLP practitioners moving prototypes into production.Technical leads & architects standardizing LLM pipelines across teams.Open-source enthusiasts looking to contribute to the Haystack ecosystem.Stop Piecing Tutorials TogetherWith clear explanations, real-world code, and a laser focus on scalable Retrieval-Augmented Generation, The Haystack Developer’s Guide gives you everything you need to build high-performing search AI—today.
Buy the book now and ship your first production RAG pipeline this week!
367 pages, Kindle Edition
Published July 1, 2025
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