AI News NQ Analysis

Master the Dynamics of RAG! 'Practical Context Engineering: A Hands-On Guide to Graph DB and RAG' Released as June's New Title in the 'Fountain of Technology' Series

NQ Score 79/100
N1 Content Completeness 9

AI Summary (NQ-processed)

Impress has released 'Practical Context Engineering: A Hands-On Guide to Graph DB and RAG,' a technical book that explains practical methods for context engineering in generative AI and implementation examples of declarative programming-based RAG. It includes real-world code examples using Graph DB and DSPy, aiming to support developers in real-world applications.

AI Analysis

Frequently Asked Questions

Q: Who is the primary audience for 'Practical Context Engineering'?
A: Engineers, data scientists, and system designers working on generative AI and RAG development.
Q: Where can I purchase this book?
A: Available on major e-book stores like Amazon, Rakuten Kobo, Apple Books, and Amazon.co.jp for print.
Q: What is author Hidenobu Ishikawa's area of expertise?
A: Research and practice in integrating generative AI and Graph DB, focusing on declarative RAG implementation using DSPy.