December 2025
Intermediate to advanced
338 pages
9h 21m
English
Content preview from Building Natural Language and LLM Pipelines
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3
Introduction to Haystack by deepset
In the previous chapter, we provided an overview of state-of-the-art patterns in the LLM landscape, from prompt engineering to context engineering, the evolution of LLMs to small and reasoning models, and proposed a hybrid architecture that leverages the strengths of two key open source players in the ever-evolving AI landscape: Haystack by deepset and LangGraph by LangChain. We mapped each of their strengths through a proposed hybrid architecture: a stateful orchestration layer (LangGraph) that directs a set of reliable, auditable tool layers (Haystack). This separation of concerns is the key to building complex, production-ready AI.
This chapter begins our deep dive into constructing that tool layer using ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.