Recommended Books
Curated selection of quality books in the RAG field to help you learn and master retrieval-augmented generation technology
Building RAG Applications: From Theory to Practice
By: Michael Zhang
Comprehensive introduction to RAG technology principles and practice, from basic concepts to advanced applications, helping readers quickly master RAG system construction methods.
Vector Databases Explained
By: Lisa Wang
In-depth exploration of vector database principles, architecture, and application scenarios, providing professional guidance for choosing appropriate vector storage for RAG systems.
Large Language Models and Knowledge Retrieval
By: David Chen
Explores the integration of large language models with knowledge retrieval, detailing how RAG technology enhances LLM capabilities and reliability.
Enterprise RAG Systems in Practice
By: Sarah Johnson
Enterprise-oriented RAG system construction guide covering architecture design, security considerations, scaling strategies, and performance optimization key topics.
Multimodal RAG Technology Explained
By: Robert Kim
Introduces RAG technology for handling multiple modalities including text, images, and audio, helping readers build more powerful multimodal AI applications.
RAG System Evaluation and Optimization
By: James Wilson
Comprehensive introduction to RAG system evaluation methods and optimization strategies, helping developers build high-quality, high-performance RAG applications.