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Автор: Tyler Suard, Darshil Modi
Издательство: Manning Publications
Год: 2025
Страниц: 183
Язык: английский
Формат: pdf, epub
Размер: 12.1 MB
Securely blend advanced LLM with your own databases, documentation, and code repos using these techniques for enterprise-quality retrieval augmented generation. Retrieval Augmented Generation, or RAG, is the gold standard for using domain-specific data, such as internal documentation or company databases, with large language models (LLMs). Creating trustworthy, stable RAG solutions you can deploy, scale, and maintain at the enterprise level means establishing data workflows that maximize accuracy and efficiency, addressing cost and performance problems, and building in appropriate checks for privacy and security. This book shows you how. Enterprise RAG goes beyond the theory and proof-of-concept examples you find in most books and online discussions, digging into the real issues you encounter deploying and scaling RAG in production. For software developers proficient in Python.