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Elasticsearch has become the de-facto standard for search and analytics in modern applications. Whether you’re building a search bar for your product, analyzing logs at scale, or powering real-time dashboards, Elasticsearch is likely on your shortlist. This “zero to hero” guide is designed to take you from no prior knowledge to a solid, practical understanding of how Elasticsearch works and how to use it effectively in real-world systems. Along the way, you’ll get code examples, architectural explanations, and curated learning resources. ...

Introduction Retrieval-augmented generation (RAG), semantic search, and intelligent question-answering are now core building blocks of modern AI applications. But wiring together vector databases, file converters, retrievers, LLMs, and evaluation in a robust way is non‑trivial. Haystack, an open‑source Python framework by deepset, is designed to make this tractable: it gives you a full toolkit to ingest data, search it efficiently, query it with LLMs, run evaluation, and deploy to production. ...