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

by Laitan Michael
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₹2,089.00
Original price ₹2,089.00
Original price ₹2,089.00
₹2,089.00
Current price ₹2,089.00

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Book cover type: Paperback
  • ISBN13: 9798267302449
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 208
  • Original Price: USD 19.99
  • Language: English
  • Edition: N/A
  • Item Weight: 368 grams
  • BISAC Subject(s): Database Administration & Management

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

Includes Practical Add-Ons:
  • Cheat Sheet for quick reference
  • Flashcards to test your understanding
  • Key Takeaways and Application Tips
  • Common Mistakes to avoid
  • Full Index for quick lookups

Includes Code and Math Equations:
This is a hands-on technical book. You'll find working code in Python, SQL, and Bash, along with clearly formatted mathematical equations that explain scoring functions, distances, and evaluation metrics. Every concept is grounded in practical logic and tied to real-world use.

Grab your copy today and build your foundation in modern vector search and AI retrieval.

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