Vector Database Engineering: Building Scalable AI Search & Retrieval Systems with FAISS, Milvus, Pinecone, Weaviate, RAG Pipelines, Embeddings, High ... Equations) (AI Engineering for Practitioners)
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Vector Database Engineering: Building Scalable AI Search & Retrieval Systems with FAISS, Milvus, Pinecone, Weaviate, RAG Pipelines, Embeddings, High ... Equations) (AI Engineering for Practitioners)

by Tony Larson

Technology Databases artificial intelligence
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Explore the foundations and practical considerations of vector database engineering for AI search and retrieval. This guide introduces FAISS, Milvus, Pinecone, Weaviate, embeddings, and RAG pipelines, with technical explanations and equations designed for practitioners developing scalable AI systems.

About This Book

Vector Database Engineering focuses on building scalable AI search and retrieval systems.

The book covers vector database technologies including FAISS, Milvus, Pinecone, and Weaviate.

It addresses embeddings and retrieval-augmented generation pipelines for AI engineering practitioners.

Equations and technical concepts are included to support a practical understanding of vector-based systems.

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I will be using this book for: