Name: Databases For Beginners: Vector DB (Pinecone), ChromaDB, FA/ISS, PostgreSQL (AI Agent Development For Beginners)
SKU: 68919003
Price: 983.00 TWD
Availability: InStock
Author: Cade, Justen
ISBN: 9798170644438

portada Databases For Beginners: Vector DB (Pinecone), ChromaDB, FA/ISS, PostgreSQL (AI Agent Development For Beginners)

Databases For Beginners: Vector DB (Pinecone), ChromaDB, FA/ISS, PostgreSQL (AI Agent Development For Beginners)

Type

Physical Book

Publisher

Independently published

Author

Cade, Justen

Format

Paperback

ISBN13

9798170644438

Databases For Beginners: Vector DB (Pinecone), ChromaDB, FA/ISS, PostgreSQL (AI Agent Development For Beginners)

Cade, Justen (Author) · Independently published · Paperback

New Book Imported to Taiwan

Delivery: 30 Oct - 09 Nov

NT$ 983

NT$ 983

Add to Wishlist

Synopsis "Databases For Beginners: Vector DB (Pinecone), ChromaDB, FA/ISS, PostgreSQL (AI Agent Development For Beginners)"

What really happens when an AI agent needs to remember information, search through documents, or find an answer based on meaning instead of exact keywords? In Databases For Beginners, Justen Cade, CEO & Founder of JBT Global, takes readers on a clear and practical journey through the databases that power modern AI applications, retrieval-augmented generation, and intelligent agents. Starting with the fundamentals, this beginner-friendly guide explains tables, records, IDs, schemas, CRUD operations, SQL, relationships, constraints, transactions, indexes, persistence, backups, permissions, and the difference between application data and retrieval data. You’ll then discover how text becomes numerical embeddings, how vectors are compared, how similarity search works, and why dimensions, metrics, metadata, chunking, filtering, recall, and latency matter. The book provides dedicated, in-depth coverage of: Pinecone and managed vector database concepts ChromaDB for local development and document-based retrieval FAISS as a powerful similarity-search library PostgreSQL and vector search with pgvector RAG ingestion and retrieval pipelines AI-agent memory and searchable knowledge Hybrid search and reranking Multi-tenant data protection Backups, deletion, observability, costs, and failure handling Testing retrieval quality and evaluating search results Through friendly explanations, practical examples, troubleshooting guidance, exercises, review scenarios, guided labs, and a complete read-only knowledge-assistant capstone, readers learn not only how these technologies work, but also when to use each one. Whether you are a teenager discovering databases for the first time, a student learning AI development, an entrepreneur building an idea, or a beginner exploring vector search, this book will help you understand the systems behind intelligent software—and make smarter decisions about how to build with them.