December 2025
Intermediate to advanced
338 pages
9h 21m
English
Content preview from Building Natural Language and LLM Pipelines
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4
Bringing Components Together – Haystack Pipelines for Different Use Cases
In the previous chapter, we introduced Haystack by deepset, a robust framework designed to manage the end-to-end lifecycle of projects involving LLMs. This includes models such as OpenAI’s GPT, Hugging Face’s Transformers, and those hosted by cloud providers such as Amazon Bedrock and Google Vertex AI. We delved into how Haystack facilitates the creation and management of LLM-based data pipelines, which are essential for tasks such as data preprocessing, storage, and interaction with LLM components, ultimately serving the processed information through applications. This chapter focuses on connecting Haystack components through pipelines. We will provide a comprehensive ...
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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.