Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Vector Database Fundamentals for Developers: Core concepts to integrate vector search into software solutions

Vector Database Fundamentals for Developers: Core concepts to integrate vector search into software solutions

Michael, Laitan

Paperback

Databases

Currently unavailable to order

ISBN13: 9798267302449
Publisher: Independently Published
Published: Sep 26 2025
Pages: 208
Weight: 0.81
Height: 0.44 Width: 7.00 Depth: 10.00
Language: English
Master the Core Concepts and Tools Behind Vector Databases and AI Retrieval Systems

In a rapidly evolving AI landscape, knowing how to store, search, and retrieve vector embeddings is no longer optional. Whether you're building RAG pipelines, designing search infrastructure, or integrating with modern LLM frameworks, this book gives you a clear and practical understanding of vector databases from the ground up.

Many developers struggle to implement scalable vector search because most resources are either too academic or too shallow. This book bridges that gap. It walks you through the mathematical foundations, shows you how real systems are built, and gives you the tools to reason about tradeoffs across performance, cost, and design.

What You Will Learn:

  • Key concepts: cosine similarity, vector norms, top-k retrieval
  • When and how to use FAISS, Milvus, Weaviate, and Pinecone
  • Understanding indexes like IVF, HNSW, PQ, DiskANN
  • How RAG systems work and how retrieval affects output quality
  • Evaluating embeddings and retrievers with MRR, NDCG, Recall
  • Multilingual search, memory systems, and semantic filters
  • Security, tenancy, real-time updates, and production scaling
  • End-to-end design of indexing pipelines and RAG workflows

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