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Category: "Vector Embeddings and Reranking"

Books

  1. The Art and Science of RAG
    The Art and Science of RAG
    Understanding, Designing, and Deploying Retrieval-Augmented Generation Systems
    Steve Publications

    Unlock the full potential of large language models with RAG. This book takes you from core concepts to production-ready systems, exploring everything from embeddings and search to evaluation and security. With clear explanations, runnable code and practical insights, you'll learn how to build reliable AI systems grounded in the knowledge that matters.

  2. Embeddings and Reranking in Retrieval-Augmented Generation
    Embeddings and Reranking in Retrieval-Augmented Generation
    Building Production-Grade Search Systems with Dense Retrieval and Neural Reranking
    Steve Publications

    Build reliable, production-ready search systems with embeddings and neural reranking. Learn how to turn semantic meaning into relevant results, refine retrieved content and deliver better context for AI-generated answers. With hands-on Python examples and practical architectures, this book takes you from core concepts to real-world RAG systems.