Retrieval-Augmented Generation in Production with Haystack [#901481]

Free Download Retrieval-Augmented Generation in Production with Haystack
English | 2025 | ISBN: 9781098165161 | 133 Pages | EPUB | 3.4 MB
In today's rapidly changing AI technology environment, software engineers often struggle to build real-world applications with large language models (LLM). The benefits of incorporating open source LLMs into existing workflows is often offset by the need to create custom components. That's where Haystack comes in. This open source framework is a collection of the most useful tools, integrations, and infrastructure building blocks to help you design and build scalable, API-driven LLM backends.
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