- Добавил: literator
- Дата: Сегодня, 20:54
- Комментариев: 0

Автор: Abhinav Kimothi
Издательство: Manning Publications
Год: 2025
Страниц: 398
Язык: английский
Формат: epub
Размер: 10.1 MB
Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation—or RAG—enhances an LLM’s available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it’s also easy to understand and implement! This book goes deeper than any blog or YouTube tutorial, covering fundamental RAG concepts that are essential for building LLM-based applications. You’ll be introduced to the idea of RAG and be guided from the basics on to advanced and modularized RAG approaches—plus hands-on code snippets leveraging LangChain, OpenAI, Transformers, and other Python libraries. For data scientists, Machine Learning and software engineers, and technology managers who wish to build LLM-based applications. Examples in Python - no experience with LLMs necessary.