BUILDING NATURAL LANGUAGE PIPELINES : build production-grade RAG, tool contracts, and context engineering with haystack and LangGraph.

Format:

Book

Author/Creator:

FUNDERBURK, LAURA.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Physical Description:

1 online resource

Place of Publication:

[S.l.] : PACKT PUBLISHING LIMITED, 2025.

Summary:

Building Natural Language Pipelines by Laura Funderburk is a concise yet comprehensive guide to creating scalable Natural Language Processing (NLP) applications with the Haystack framework by deepset. This book is perfect for developers who want to quickly understand, design, and deploy effective NLP pipelines, including applications powered by state-of-the-art Large Language Models (LLMs). What this Book will help me do Select and optimize Large Language Models (LLMs) for your specific NLP tasks, improving performance and relevance. Learn to design and implement scalable NLP pipelines using the Haystack framework. Gain hands-on experience with real-world applications, such as semantic search and question answering systems. Build and extend custom components to handle unique challenges in natural language processing. Deploy production-ready NLP systems using Docker and custom APIs, ensuring maintainable and scalable solutions. Author(s) Laura Funderburk is an experienced Artificial Intelligence and Natural Language Processing practitioner with a passion for teaching and empowering others to harness these technologies. She has led numerous projects involving NLP system development and brings her hands-on experience to this book. Through her writing, Laura makes complex concepts accessible, bridging technical expertise with real-world applications. Who is it for? This book is suitable for technical professionals, including NLP developers, data scientists, and machine learning engineers, who want to master modern NLP techniques and technologies. Prior basic knowledge of NLP concepts is beneficial but not required. If you're looking to level up your expertise in building LLM-powered applications or integrating robust NLP pipelines into your projects, this book is for you.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-83546-799-7

OCLC:

1565176369