Building Natural Language Pipelines guides you through mastering LLM-powered applications using Haystack by deepset. From understanding Large Language Models to implementing production-ready NLP pipelines, this book covers it all.
You'll explore LLMs, learn to optimize their performance, and dive deep into the Haystack framework. Through hands-on projects, you'll build applications ranging from question-answering systems to sentiment analysis and semantic search engines. You'll learn to leverage Haystack's components and create custom ones. The book teaches you to package applications with Docker, enhance them with custom APIs, and apply best practices for scalable, well-documented projects. Real-world case studies demonstrate practical applications of these concepts.
By the end, you'll confidently design, implement, and deploy sophisticated NLP pipelines for various language processing challenges, equipping you with essential skills for building powerful, scalable NLP applications.

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Spis treści

Building Natural Language Pipelines. An introduction to Haystack by Deepset eBook -- spis treści

• 1. Introduction to Natural Language Processing (NLP) pipelines
• 2. Foundational concepts in NLP pipelines
• 3. Introduction to Haystack by Deepset
• 4. Bringing components together: Haystack pipelines for different use cases
• 5. Haystack pipeline development with custom components
• 6. Setting up a reproducible project: Q&A pipeline
• 7. Deploying Haystack-based applications
• 8. Hands-on Projects
• 9. Future Trends and Beyond
• 10. Conclusion